Overview

Dataset statistics

Number of variables128
Number of observations19960
Missing cells0
Missing cells (%)0.0%
Total size in memory19.5 MiB
Average record size in memory1.0 KiB

Variable types

Numeric123
Boolean1
Categorical4

Alerts

Valid_Lap has constant value "True"Constant
Wheel_Circ has constant value "2100"Constant
Chainring has constant value "50.0"Constant
Sprocket has constant value "15"Constant
Data Point has unique valuesUnique
Time (s) has unique valuesUnique
Distance (m) has unique valuesUnique
Lap_Dist has unique valuesUnique
Clock_Time has unique valuesUnique
Distance has unique valuesUnique
Odo_count has unique valuesUnique
Orig_Dist has unique valuesUnique
Track_Dist has unique valuesUnique
Power has unique valuesUnique
Ground_Speed has unique valuesUnique
Orig_Ground_Speed has unique valuesUnique
Cadence has unique valuesUnique
Drag has unique valuesUnique
Total_Fx has unique valuesUnique
Total_Weight has unique valuesUnique
Total_Fy has unique valuesUnique
Crank-Angle-Delta has unique valuesUnique
Cadence_Speed has unique valuesUnique
gear_ratio has unique valuesUnique
gear_inches has unique valuesUnique
Crank_Speed has unique valuesUnique
CoM_velocity has unique valuesUnique
CoMr_velocity has unique valuesUnique
Pitot_velocity has unique valuesUnique
Wind_Speed has unique valuesUnique
Ground_Accel has unique valuesUnique
CoM_Accel has unique valuesUnique
CoMr_Accel has unique valuesUnique
Slope has unique valuesUnique
Rider_CdA_noslope has unique valuesUnique
Rider_CdA has unique valuesUnique
calc_rider_CdA has unique valuesUnique
calc_rider_CdA_corr has unique valuesUnique
calc_Rider_Weight has unique valuesUnique
calc_RiderBike_Weight has unique valuesUnique
RR_power_meas has unique valuesUnique
Total_Weight_inclBike has unique valuesUnique
RR_power_sens has unique valuesUnique
Accel_power_meas has unique valuesUnique
Accel_power_sens has unique valuesUnique
KE1 has unique valuesUnique
KE2 has unique valuesUnique
AccelKE_power_meas has unique valuesUnique
AccelKE_power_sens has unique valuesUnique
DTL_power has unique valuesUnique
FullAir_power has unique valuesUnique
Residual_power_meas has unique valuesUnique
Residual_power_sens has unique valuesUnique
calc_CdA_meas has unique valuesUnique
calc_CdA_sens has unique valuesUnique
calc_VECdA has unique valuesUnique
lean_angle_spd has 6407 (32.1%) zerosZeros
lean_angle_wgt has 4005 (20.1%) zerosZeros
Track_Black_Slope has 777 (3.9%) zerosZeros
Track_Red_Slope has 777 (3.9%) zerosZeros

Reproduction

Analysis started2023-02-22 08:24:29.261040
Analysis finished2023-02-22 08:24:33.423932
Duration4.16 seconds
Software versionpandas-profiling v0.0.dev0
Download configurationconfig.json

Variables

Data Point
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27958.5
Minimum17979
Maximum37938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:33.673795image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum17979
5-th percentile18976.95
Q122968.75
median27958.5
Q332948.25
95-th percentile36940.05
Maximum37938
Range19959
Interquartile range (IQR)9979.5

Descriptive statistics

Standard deviation5762.100022
Coefficient of variation (CV)0.2060947484
Kurtosis-1.2
Mean27958.5
Median Absolute Deviation (MAD)4990
Skewness0
Sum558051660
Variance33201796.67
MonotonicityStrictly increasing
2023-02-22T08:24:34.064622image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17979 1
 
< 0.1%
31283 1
 
< 0.1%
31290 1
 
< 0.1%
31289 1
 
< 0.1%
31288 1
 
< 0.1%
31287 1
 
< 0.1%
31286 1
 
< 0.1%
31285 1
 
< 0.1%
31284 1
 
< 0.1%
31282 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
17979 1
< 0.1%
17980 1
< 0.1%
17981 1
< 0.1%
17982 1
< 0.1%
17983 1
< 0.1%
ValueCountFrequency (%)
37938 1
< 0.1%
37937 1
< 0.1%
37936 1
< 0.1%
37935 1
< 0.1%
37934 1
< 0.1%

Time (s)
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean279.585
Minimum179.79
Maximum379.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:34.520536image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum179.79
5-th percentile189.7695
Q1229.6875
median279.585
Q3329.4825
95-th percentile369.4005
Maximum379.38
Range199.59
Interquartile range (IQR)99.795

Descriptive statistics

Standard deviation57.62100022
Coefficient of variation (CV)0.2060947484
Kurtosis-1.2
Mean279.585
Median Absolute Deviation (MAD)49.9
Skewness1.186468079 × 10-15
Sum5580516.6
Variance3320.179667
MonotonicityStrictly increasing
2023-02-22T08:24:34.916651image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179.79 1
 
< 0.1%
312.83 1
 
< 0.1%
312.9 1
 
< 0.1%
312.89 1
 
< 0.1%
312.88 1
 
< 0.1%
312.87 1
 
< 0.1%
312.86 1
 
< 0.1%
312.85 1
 
< 0.1%
312.84 1
 
< 0.1%
312.82 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
179.79 1
< 0.1%
179.8 1
< 0.1%
179.81 1
< 0.1%
179.82 1
< 0.1%
179.83 1
< 0.1%
ValueCountFrequency (%)
379.38 1
< 0.1%
379.37 1
< 0.1%
379.36 1
< 0.1%
379.35 1
< 0.1%
379.34 1
< 0.1%

Distance (m)
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1609.394233
Minimum465.6654275
Maximum2728.386263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:35.474476image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum465.6654275
5-th percentile583.374722
Q11051.023521
median1614.466436
Q32173.193987
95-th percentile2616.851658
Maximum2728.386263
Range2262.720835
Interquartile range (IQR)1122.170466

Descriptive statistics

Standard deviation650.7413231
Coefficient of variation (CV)0.404339291
Kurtosis-1.189623171
Mean1609.394233
Median Absolute Deviation (MAD)561.0673674
Skewness-0.02271254938
Sum32123508.89
Variance423464.2696
MonotonicityStrictly increasing
2023-02-22T08:24:35.850312image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
465.6654275 1
 
< 0.1%
1987.583558 1
 
< 0.1%
1988.358157 1
 
< 0.1%
1988.24737 1
 
< 0.1%
1988.136628 1
 
< 0.1%
1988.02593 1
 
< 0.1%
1987.915276 1
 
< 0.1%
1987.804664 1
 
< 0.1%
1987.694092 1
 
< 0.1%
1987.473059 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
465.6654275 1
< 0.1%
465.7817247 1
< 0.1%
465.8980207 1
< 0.1%
466.0143071 1
< 0.1%
466.1305767 1
< 0.1%
ValueCountFrequency (%)
2728.386263 1
< 0.1%
2728.275936 1
< 0.1%
2728.165599 1
< 0.1%
2728.055249 1
< 0.1%
2727.944883 1
< 0.1%

Lap_Dist
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.8377064
Minimum0.1088747582
Maximum253.1037018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:36.238331image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1088747582
5-th percentile12.5303809
Q162.76219374
median125.9491637
Q3188.8254326
95-th percentile239.0866811
Maximum253.1037018
Range252.994827
Interquartile range (IQR)126.0632389

Descriptive statistics

Standard deviation72.72427651
Coefficient of variation (CV)0.5779211861
Kurtosis-1.200715017
Mean125.8377064
Median Absolute Deviation (MAD)63.04564878
Skewness-0.001258492591
Sum2511720.619
Variance5288.820394
MonotonicityNot monotonic
2023-02-22T08:24:36.640419image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250.6031817 1
 
< 0.1%
13.76376948 1
 
< 0.1%
14.53836859 1
 
< 0.1%
14.42758128 1
 
< 0.1%
14.31683942 1
 
< 0.1%
14.2061421 1
 
< 0.1%
14.0954881 1
 
< 0.1%
13.98487591 1
 
< 0.1%
13.87430374 1
 
< 0.1%
13.65327073 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
0.1088747582 1
< 0.1%
0.1102543654 1
< 0.1%
0.1105686385 1
< 0.1%
0.1113695356 1
< 0.1%
0.1114977681 1
< 0.1%
ValueCountFrequency (%)
253.1037018 1
< 0.1%
252.9882585 1
< 0.1%
252.8728002 1
< 0.1%
252.7573235 1
< 0.1%
252.739429 1
< 0.1%

Lap
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0501002
Minimum3
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:36.968817image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median7
Q39
95-th percentile11
Maximum11
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.571975088
Coefficient of variation (CV)0.3648139764
Kurtosis-1.220256804
Mean7.0501002
Median Absolute Deviation (MAD)2
Skewness-0.022284866
Sum140720
Variance6.615055854
MonotonicityIncreasing
2023-02-22T08:24:37.243991image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7 2260
11.3%
9 2260
11.3%
10 2260
11.3%
11 2260
11.3%
6 2240
11.2%
8 2220
11.1%
5 2180
10.9%
4 2160
10.8%
3 2120
10.6%
ValueCountFrequency (%)
3 2120
10.6%
4 2160
10.8%
5 2180
10.9%
6 2240
11.2%
7 2260
11.3%
ValueCountFrequency (%)
11 2260
11.3%
10 2260
11.3%
9 2260
11.3%
8 2220
11.1%
7 2260
11.3%

Left pedal drag force (N)
Real number (ℝ)

Distinct11576
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-30.64000802
Minimum-150.89
Maximum78.21
Zeros0
Zeros (%)0.0%
Negative12782
Negative (%)64.0%
Memory size311.9 KiB
2023-02-22T08:24:37.553952image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-150.89
5-th percentile-105.8205
Q1-78.7025
median-26.815
Q314.8225
95-th percentile39.2405
Maximum78.21
Range229.1
Interquartile range (IQR)93.525

Descriptive statistics

Standard deviation49.99272743
Coefficient of variation (CV)-1.631616004
Kurtosis-1.306919304
Mean-30.64000802
Median Absolute Deviation (MAD)46.995
Skewness-0.10762553
Sum-611574.56
Variance2499.272796
MonotonicityNot monotonic
2023-02-22T08:24:37.954113image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.23 10
 
0.1%
-87.91 8
 
< 0.1%
-81.7 8
 
< 0.1%
-89.15 7
 
< 0.1%
15.72 7
 
< 0.1%
10.12 7
 
< 0.1%
24.85 7
 
< 0.1%
-81.32 7
 
< 0.1%
-86.65 6
 
< 0.1%
34.24 6
 
< 0.1%
Other values (11566) 19887
99.6%
ValueCountFrequency (%)
-150.89 1
< 0.1%
-149.88 1
< 0.1%
-149.32 1
< 0.1%
-147.45 1
< 0.1%
-146.36 1
< 0.1%
ValueCountFrequency (%)
78.21 1
< 0.1%
77.35 1
< 0.1%
74.46 1
< 0.1%
72.67 1
< 0.1%
69.88 1
< 0.1%
Distinct11606
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-29.94573497
Minimum-159.46
Maximum71.82
Zeros0
Zeros (%)0.0%
Negative12297
Negative (%)61.6%
Memory size311.9 KiB
2023-02-22T08:24:38.306934image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-159.46
5-th percentile-107.25
Q1-80.1825
median-25.735
Q315.9
95-th percentile41.69
Maximum71.82
Range231.28
Interquartile range (IQR)96.0825

Descriptive statistics

Standard deviation51.02565656
Coefficient of variation (CV)-1.703937359
Kurtosis-1.347211501
Mean-29.94573497
Median Absolute Deviation (MAD)47.225
Skewness-0.1278472781
Sum-597716.87
Variance2603.617628
MonotonicityNot monotonic
2023-02-22T08:24:38.710354image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.28 8
 
< 0.1%
17.27 8
 
< 0.1%
-83.84 7
 
< 0.1%
33.66 7
 
< 0.1%
10.8 7
 
< 0.1%
9.72 7
 
< 0.1%
-34.69 7
 
< 0.1%
-79.38 7
 
< 0.1%
-87.68 7
 
< 0.1%
-86.27 7
 
< 0.1%
Other values (11596) 19888
99.6%
ValueCountFrequency (%)
-159.46 1
< 0.1%
-156.99 1
< 0.1%
-152.99 1
< 0.1%
-148.81 1
< 0.1%
-146.19 1
< 0.1%
ValueCountFrequency (%)
71.82 1
< 0.1%
64.94 1
< 0.1%
64.33 1
< 0.1%
63.94 1
< 0.1%
63.81 1
< 0.1%

Handlebar drag force (N)
Real number (ℝ)

Distinct10417
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.93371443
Minimum-31.51
Maximum236.21
Zeros0
Zeros (%)0.0%
Negative193
Negative (%)1.0%
Memory size311.9 KiB
2023-02-22T08:24:39.119285image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-31.51
5-th percentile19.0595
Q151.42
median74.85
Q399.92
95-th percentile141.9305
Maximum236.21
Range267.72
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation36.89812875
Coefficient of variation (CV)0.4796093498
Kurtosis0.1670310122
Mean76.93371443
Median Absolute Deviation (MAD)24.075
Skewness0.3613937722
Sum1535596.94
Variance1361.471905
MonotonicityNot monotonic
2023-02-22T08:24:40.918686image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62.97 10
 
0.1%
71.78 9
 
< 0.1%
62.92 9
 
< 0.1%
66.43 8
 
< 0.1%
54.2 8
 
< 0.1%
70.09 8
 
< 0.1%
66.33 8
 
< 0.1%
47.8 8
 
< 0.1%
98.42 8
 
< 0.1%
70.92 8
 
< 0.1%
Other values (10407) 19876
99.6%
ValueCountFrequency (%)
-31.51 1
< 0.1%
-25.66 1
< 0.1%
-25.04 1
< 0.1%
-22.76 1
< 0.1%
-20.22 1
< 0.1%
ValueCountFrequency (%)
236.21 1
< 0.1%
233.12 1
< 0.1%
231.37 1
< 0.1%
222.39 1
< 0.1%
221.6 1
< 0.1%

Saddle drag force (N)
Real number (ℝ)

Distinct11889
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-29.93189629
Minimum-205.92
Maximum107.59
Zeros0
Zeros (%)0.0%
Negative14762
Negative (%)74.0%
Memory size311.9 KiB
2023-02-22T08:24:41.316314image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-205.92
5-th percentile-107.93
Q1-60.735
median-29.69
Q31.56
95-th percentile47.66
Maximum107.59
Range313.51
Interquartile range (IQR)62.295

Descriptive statistics

Standard deviation46.30376226
Coefficient of variation (CV)-1.546970556
Kurtosis-0.1950423602
Mean-29.93189629
Median Absolute Deviation (MAD)31.16
Skewness-0.08643744375
Sum-597440.65
Variance2144.038399
MonotonicityNot monotonic
2023-02-22T08:24:41.722469image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-37.98 7
 
< 0.1%
-43.53 7
 
< 0.1%
-92.97 7
 
< 0.1%
-30.69 7
 
< 0.1%
-34.57 7
 
< 0.1%
-54.86 7
 
< 0.1%
-16.05 7
 
< 0.1%
-29.69 6
 
< 0.1%
-11.75 6
 
< 0.1%
-45.85 6
 
< 0.1%
Other values (11879) 19893
99.7%
ValueCountFrequency (%)
-205.92 1
< 0.1%
-195.06 1
< 0.1%
-194.87 1
< 0.1%
-188.88 1
< 0.1%
-185.76 1
< 0.1%
ValueCountFrequency (%)
107.59 1
< 0.1%
101.43 1
< 0.1%
98.89 1
< 0.1%
95.29 1
< 0.1%
94.67 1
< 0.1%
Distinct15376
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.3365792
Minimum0.02
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:42.064816image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile18.0885
Q190.37
median180.875
Q3270.05
95-th percentile341.741
Maximum360
Range359.98
Interquartile range (IQR)179.68

Descriptive statistics

Standard deviation103.8265923
Coefficient of variation (CV)0.5757378386
Kurtosis-1.200392349
Mean180.3365792
Median Absolute Deviation (MAD)89.825
Skewness-0.007119529048
Sum3599518.12
Variance10779.96127
MonotonicityNot monotonic
2023-02-22T08:24:42.447519image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271.97 7
 
< 0.1%
23.18 6
 
< 0.1%
98.92 5
 
< 0.1%
176.66 5
 
< 0.1%
43.99 5
 
< 0.1%
304.06 5
 
< 0.1%
222.43 5
 
< 0.1%
269.47 5
 
< 0.1%
45.92 5
 
< 0.1%
246.53 5
 
< 0.1%
Other values (15366) 19907
99.7%
ValueCountFrequency (%)
0.02 1
< 0.1%
0.04 1
< 0.1%
0.06 2
< 0.1%
0.07 1
< 0.1%
0.08 1
< 0.1%
ValueCountFrequency (%)
360 1
 
< 0.1%
359.99 3
< 0.1%
359.91 1
 
< 0.1%
359.89 1
 
< 0.1%
359.88 1
 
< 0.1%

Clock_Time
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27509.795
Minimum27410
Maximum27609.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:42.779134image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum27410
5-th percentile27419.9795
Q127459.8975
median27509.795
Q327559.6925
95-th percentile27599.6105
Maximum27609.59
Range199.59
Interquartile range (IQR)99.795

Descriptive statistics

Standard deviation57.62100022
Coefficient of variation (CV)0.002094563054
Kurtosis-1.2
Mean27509.795
Median Absolute Deviation (MAD)49.9
Skewness-9.853929628 × 10-14
Sum549095508.2
Variance3320.179667
MonotonicityStrictly increasing
2023-02-22T08:24:43.145029image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27410 1
 
< 0.1%
27543.04 1
 
< 0.1%
27543.11 1
 
< 0.1%
27543.1 1
 
< 0.1%
27543.09 1
 
< 0.1%
27543.08 1
 
< 0.1%
27543.07 1
 
< 0.1%
27543.06 1
 
< 0.1%
27543.05 1
 
< 0.1%
27543.03 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
27410 1
< 0.1%
27410.01 1
< 0.1%
27410.02 1
< 0.1%
27410.03 1
< 0.1%
27410.04 1
< 0.1%
ValueCountFrequency (%)
27609.59 1
< 0.1%
27609.58 1
< 0.1%
27609.57 1
< 0.1%
27609.56 1
< 0.1%
27609.55 1
< 0.1%

Distance
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1613.004883
Minimum469.4076
Maximum2731.9327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:43.516916image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum469.4076
5-th percentile587.09423
Q11054.686775
median1618.02925
Q32176.74895
95-th percentile2620.42906
Maximum2731.9327
Range2262.5251
Interquartile range (IQR)1122.062175

Descriptive statistics

Standard deviation650.6900955
Coefficient of variation (CV)0.4034024339
Kurtosis-1.189651113
Mean1613.004883
Median Absolute Deviation (MAD)561.0227
Skewness-0.02261396194
Sum32195577.46
Variance423397.6004
MonotonicityStrictly increasing
2023-02-22T08:24:43.793983image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
469.4076 1
 
< 0.1%
1991.135 1
 
< 0.1%
1991.921 1
 
< 0.1%
1991.8078 1
 
< 0.1%
1991.6968 1
 
< 0.1%
1991.5836 1
 
< 0.1%
1991.4725 1
 
< 0.1%
1991.3593 1
 
< 0.1%
1991.2461 1
 
< 0.1%
1991.0218 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
469.4076 1
< 0.1%
469.5208 1
< 0.1%
469.636 1
< 0.1%
469.7492 1
< 0.1%
469.8624 1
< 0.1%
ValueCountFrequency (%)
2731.9327 1
< 0.1%
2731.8216 1
< 0.1%
2731.7126 1
< 0.1%
2731.6015 1
< 0.1%
2731.4925 1
< 0.1%

Dir_wind
Real number (ℝ)

Distinct996
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.066177355
Minimum-10.7438
Maximum8.2311
Zeros0
Zeros (%)0.0%
Negative12880
Negative (%)64.5%
Memory size311.9 KiB
2023-02-22T08:24:44.168923image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-10.7438
5-th percentile-5.9574
Q1-3.3139
median-1.1583
Q30.9044
95-th percentile4.6571
Maximum8.2311
Range18.9749
Interquartile range (IQR)4.2183

Descriptive statistics

Standard deviation3.134653342
Coefficient of variation (CV)-2.940086214
Kurtosis-0.1836067747
Mean-1.066177355
Median Absolute Deviation (MAD)2.0987
Skewness0.1881267628
Sum-21280.9
Variance9.826051573
MonotonicityNot monotonic
2023-02-22T08:24:44.568249image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3618 40
 
0.2%
-0.4853 40
 
0.2%
1.1058 20
 
0.1%
-0.4849 20
 
0.1%
3.1781 20
 
0.1%
1.1051 20
 
0.1%
3.1302 20
 
0.1%
-0.3943 20
 
0.1%
-1.0153 20
 
0.1%
5.3143 20
 
0.1%
Other values (986) 19720
98.8%
ValueCountFrequency (%)
-10.7438 20
0.1%
-9.0561 20
0.1%
-8.9696 20
0.1%
-8.6788 20
0.1%
-8.553 20
0.1%
ValueCountFrequency (%)
8.2311 20
0.1%
7.2295 20
0.1%
7.1183 20
0.1%
6.9079 20
0.1%
6.8757 20
0.1%

VECdA
Real number (ℝ)

Distinct1365
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2685697495
Minimum0.1944
Maximum0.3321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:44.916406image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1944
5-th percentile0.2245
Q10.2505
median0.2688
Q30.2868
95-th percentile0.3127
Maximum0.3321
Range0.1377
Interquartile range (IQR)0.0363

Descriptive statistics

Standard deviation0.02638747112
Coefficient of variation (CV)0.0982518365
Kurtosis-0.1764452101
Mean0.2685697495
Median Absolute Deviation (MAD)0.0182
Skewness-0.08534755804
Sum5360.6522
Variance0.0006962986319
MonotonicityNot monotonic
2023-02-22T08:24:45.249103image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2762 54
 
0.3%
0.2608 54
 
0.3%
0.2808 54
 
0.3%
0.2695 53
 
0.3%
0.2758 51
 
0.3%
0.2509 50
 
0.3%
0.2761 49
 
0.2%
0.2648 49
 
0.2%
0.2505 48
 
0.2%
0.2524 47
 
0.2%
Other values (1355) 19451
97.4%
ValueCountFrequency (%)
0.1944 5
< 0.1%
0.1945 6
< 0.1%
0.1946 2
 
< 0.1%
0.1947 6
< 0.1%
0.1948 4
< 0.1%
ValueCountFrequency (%)
0.3321 2
< 0.1%
0.332 3
< 0.1%
0.3319 2
< 0.1%
0.3318 2
< 0.1%
0.3317 2
< 0.1%

Temp_C
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.56827909
Minimum18.2987
Maximum19.2267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:45.493492image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum18.2987
5-th percentile18.301
Q118.3033
median18.3033
Q319.2244
95-th percentile19.2267
Maximum19.2267
Range0.928
Interquartile range (IQR)0.9211

Descriptive statistics

Standard deviation0.4172807896
Coefficient of variation (CV)0.02247277669
Kurtosis-1.119456275
Mean18.56827909
Median Absolute Deviation (MAD)0
Skewness0.9384185768
Sum370622.8507
Variance0.1741232574
MonotonicityNot monotonic
2023-02-22T08:24:45.728040image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
18.3033 12234
61.3%
19.2244 3863
 
19.4%
19.2267 1643
 
8.2%
18.301 1435
 
7.2%
18.3056 513
 
2.6%
19.2221 235
 
1.2%
18.2987 37
 
0.2%
ValueCountFrequency (%)
18.2987 37
 
0.2%
18.301 1435
 
7.2%
18.3033 12234
61.3%
18.3056 513
 
2.6%
19.2221 235
 
1.2%
ValueCountFrequency (%)
19.2267 1643
 
8.2%
19.2244 3863
 
19.4%
19.2221 235
 
1.2%
18.3056 513
 
2.6%
18.3033 12234
61.3%

Odo_count
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1975.563398
Minimum1429.954
Maximum2509.403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:46.104234image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1429.954
5-th percentile1486.1022
Q11709.19025
median1977.9605
Q32244.52525
95-th percentile2456.2047
Maximum2509.403
Range1079.449
Interquartile range (IQR)535.335

Descriptive statistics

Standard deviation310.4437478
Coefficient of variation (CV)0.1571418807
Kurtosis-1.189651112
Mean1975.563398
Median Absolute Deviation (MAD)267.6635
Skewness-0.02261396212
Sum39432245.43
Variance96375.32055
MonotonicityStrictly increasing
2023-02-22T08:24:46.429702image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1429.954 1
 
< 0.1%
2155.969 1
 
< 0.1%
2156.344 1
 
< 0.1%
2156.29 1
 
< 0.1%
2156.237 1
 
< 0.1%
2156.183 1
 
< 0.1%
2156.13 1
 
< 0.1%
2156.076 1
 
< 0.1%
2156.022 1
 
< 0.1%
2155.915 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
1429.954 1
< 0.1%
1430.008 1
< 0.1%
1430.063 1
< 0.1%
1430.117 1
< 0.1%
1430.171 1
< 0.1%
ValueCountFrequency (%)
2509.403 1
< 0.1%
2509.35 1
< 0.1%
2509.298 1
< 0.1%
2509.245 1
< 0.1%
2509.193 1
< 0.1%

IR_count
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean604842465
Minimum536893172
Maximum671111280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:46.713357image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum536893172
5-th percentile536893172
Q1570446804
median604002073
Q3637556467
95-th percentile671111280
Maximum671111280
Range134218108
Interquartile range (IQR)67109663

Descriptive statistics

Standard deviation43150902.89
Coefficient of variation (CV)0.07134238317
Kurtosis-1.220270697
Mean604842465
Median Absolute Deviation (MAD)33555269
Skewness-0.02228055074
Sum1.20726556 × 1013
Variance1.862000421 × 1015
MonotonicityIncreasing
2023-02-22T08:24:46.966690image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
604002073 2260
11.3%
637556467 2260
11.3%
654333968 2260
11.3%
671111280 2260
11.3%
587224507 2240
11.2%
620779552 2220
11.1%
570446804 2180
10.9%
553669436 2160
10.8%
536893172 2120
10.6%
ValueCountFrequency (%)
536893172 2120
10.6%
553669436 2160
10.8%
570446804 2180
10.9%
587224507 2240
11.2%
604002073 2260
11.3%
ValueCountFrequency (%)
671111280 2260
11.3%
654333968 2260
11.3%
637556467 2260
11.3%
620779552 2220
11.1%
604002073 2260
11.3%

Valid_Lap
Boolean

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size175.4 KiB
True
19960 
ValueCountFrequency (%)
True 19960
100.0%
2023-02-22T08:24:47.274675image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Orig_Dist
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1613.004878
Minimum469.41
Maximum2731.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:47.577659image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum469.41
5-th percentile587.094
Q11054.69
median1618.025
Q32176.7475
95-th percentile2620.426
Maximum2731.93
Range2262.52
Interquartile range (IQR)1122.0575

Descriptive statistics

Standard deviation650.6901055
Coefficient of variation (CV)0.4034024413
Kurtosis-1.189651281
Mean1613.004878
Median Absolute Deviation (MAD)561.025
Skewness-0.02261392228
Sum32195577.36
Variance423397.6134
MonotonicityStrictly increasing
2023-02-22T08:24:47.910312image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
469.41 1
 
< 0.1%
1991.13 1
 
< 0.1%
1991.92 1
 
< 0.1%
1991.81 1
 
< 0.1%
1991.7 1
 
< 0.1%
1991.58 1
 
< 0.1%
1991.47 1
 
< 0.1%
1991.36 1
 
< 0.1%
1991.25 1
 
< 0.1%
1991.02 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
469.41 1
< 0.1%
469.52 1
< 0.1%
469.64 1
< 0.1%
469.75 1
< 0.1%
469.86 1
< 0.1%
ValueCountFrequency (%)
2731.93 1
< 0.1%
2731.82 1
< 0.1%
2731.71 1
< 0.1%
2731.6 1
< 0.1%
2731.49 1
< 0.1%

Orig_Lap_Dist
Real number (ℝ)

Distinct14104
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.8392114
Minimum0.11
Maximum253.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:48.205068image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile12.519
Q162.7775
median125.945
Q3188.83
95-th percentile239.11
Maximum253.06
Range252.95
Interquartile range (IQR)126.0525

Descriptive statistics

Standard deviation72.72024942
Coefficient of variation (CV)0.5778822722
Kurtosis-1.200666067
Mean125.8392114
Median Absolute Deviation (MAD)63.04
Skewness-0.001527222177
Sum2511750.66
Variance5288.234676
MonotonicityNot monotonic
2023-02-22T08:24:48.544023image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.11 7
 
< 0.1%
215.42 6
 
< 0.1%
0.22 6
 
< 0.1%
69.03 5
 
< 0.1%
235.05 5
 
< 0.1%
117.85 5
 
< 0.1%
203.36 5
 
< 0.1%
234.83 5
 
< 0.1%
200.11 5
 
< 0.1%
229.72 5
 
< 0.1%
Other values (14094) 19906
99.7%
ValueCountFrequency (%)
0.11 7
< 0.1%
0.12 2
 
< 0.1%
0.22 6
< 0.1%
0.23 3
< 0.1%
0.33 5
< 0.1%
ValueCountFrequency (%)
253.06 1
< 0.1%
252.94 1
< 0.1%
252.83 1
< 0.1%
252.76 1
< 0.1%
252.71 1
< 0.1%

Track_Pos
Real number (ℝ)

Distinct19952
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.9520465
Minimum0.01522154484
Maximum249.998784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:48.877510image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.01522154484
5-th percentile12.48472525
Q162.66495053
median124.7672122
Q3187.480144
95-th percentile237.4762419
Maximum249.998784
Range249.9835625
Interquartile range (IQR)124.8151934

Descriptive statistics

Standard deviation72.14012508
Coefficient of variation (CV)0.5773424855
Kurtosis-1.197652012
Mean124.9520465
Median Absolute Deviation (MAD)62.3973733
Skewness0.003077626473
Sum2494042.848
Variance5204.197647
MonotonicityNot monotonic
2023-02-22T08:24:49.307756image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 9
 
< 0.1%
113.8743037 1
 
< 0.1%
114.649202 1
 
< 0.1%
114.5383686 1
 
< 0.1%
114.4275813 1
 
< 0.1%
114.3168394 1
 
< 0.1%
114.2061421 1
 
< 0.1%
114.0954881 1
 
< 0.1%
113.9848759 1
 
< 0.1%
113.7637695 1
 
< 0.1%
Other values (19942) 19942
99.9%
ValueCountFrequency (%)
0.01522154484 1
< 0.1%
0.02534833667 1
< 0.1%
0.05528378712 1
< 0.1%
0.07157854039 1
< 0.1%
0.07699440899 1
< 0.1%
ValueCountFrequency (%)
249.998784 1
< 0.1%
249.9883781 1
< 0.1%
249.9764142 1
< 0.1%
249.9736595 1
< 0.1%
249.9654675 1
< 0.1%

Track_Lap
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.450551102
Minimum3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:49.619629image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median7
Q310
95-th percentile11
Maximum12
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.618112191
Coefficient of variation (CV)0.351398461
Kurtosis-1.137704709
Mean7.450551102
Median Absolute Deviation (MAD)2
Skewness-0.01854871023
Sum148713
Variance6.854511445
MonotonicityIncreasing
2023-02-22T08:24:49.880655image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11 2261
11.3%
10 2259
11.3%
7 2250
11.3%
8 2246
11.3%
9 2237
11.2%
6 2217
11.1%
5 2173
10.9%
4 2138
10.7%
3 1274
6.4%
12 905
4.5%
ValueCountFrequency (%)
3 1274
6.4%
4 2138
10.7%
5 2173
10.9%
6 2217
11.1%
7 2250
11.3%
ValueCountFrequency (%)
12 905
4.5%
11 2261
11.3%
10 2259
11.3%
9 2237
11.2%
8 2246
11.3%

Track_Dist
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1737.589822
Minimum600
Maximum2849.889616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:50.229812image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum600
5-th percentile717.5987554
Q11182.107105
median1742.068136
Q32298.092464
95-th percentile2739.482787
Maximum2849.889616
Range2249.889616
Interquartile range (IQR)1115.985358

Descriptive statistics

Standard deviation647.0045398
Coefficient of variation (CV)0.3723574641
Kurtosis-1.18943235
Mean1737.589822
Median Absolute Deviation (MAD)557.9697321
Skewness-0.0220501284
Sum34682292.85
Variance418614.8745
MonotonicityStrictly increasing
2023-02-22T08:24:50.604108image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 1
 
< 0.1%
2113.763769 1
 
< 0.1%
2114.538369 1
 
< 0.1%
2114.427581 1
 
< 0.1%
2114.316839 1
 
< 0.1%
2114.206142 1
 
< 0.1%
2114.095488 1
 
< 0.1%
2113.984876 1
 
< 0.1%
2113.874304 1
 
< 0.1%
2113.653271 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
600 1
< 0.1%
600.1162972 1
< 0.1%
600.2325931 1
< 0.1%
600.3488796 1
< 0.1%
600.4651491 1
< 0.1%
ValueCountFrequency (%)
2849.889616 1
< 0.1%
2849.779289 1
< 0.1%
2849.668952 1
< 0.1%
2849.558601 1
< 0.1%
2849.448236 1
< 0.1%

Track_Sect
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size311.9 KiB
BEND1
6792 
BEND2
6761 
Straight (back)
3210 
Straight (home)
3197 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStraight (back)
2nd rowStraight (back)
3rd rowStraight (back)
4th rowStraight (back)
5th rowStraight (back)

Common Values

ValueCountFrequency (%)
BEND1 6792
34.0%
BEND2 6761
33.9%
Straight (back) 3210
16.1%
Straight (home) 3197
16.0%

Common Values (Plot)

2023-02-22T08:24:51.001924image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Track_Mid_Sect
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size311.9 KiB
Ignore
7216 
Mid-BEND1
4380 
Mid-BEND2
4359 
Mid-Straight (back)
2006 
Mid-Straight (home)
1999 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMid-Straight (back)
2nd rowMid-Straight (back)
3rd rowMid-Straight (back)
4th rowMid-Straight (back)
5th rowMid-Straight (back)

Common Values

ValueCountFrequency (%)
Ignore 7216
36.2%
Mid-BEND1 4380
21.9%
Mid-BEND2 4359
21.8%
Mid-Straight (back) 2006
 
10.1%
Mid-Straight (home) 1999
 
10.0%

Common Values (Plot)

2023-02-22T08:24:51.378416image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Track_End_Sect
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size311.9 KiB
Ignore
9984 
End-BEND1 (2nd half)
1814 
End-BEND2 (2nd half)
1794 
End-BEND2 (1st half)
1783 
End-BEND1 (1st half)
1783 
Other values (2)
2802 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIgnore
2nd rowIgnore
3rd rowIgnore
4th rowIgnore
5th rowIgnore

Common Values

ValueCountFrequency (%)
Ignore 9984
50.0%
End-BEND1 (2nd half) 1814
 
9.1%
End-BEND2 (2nd half) 1794
 
9.0%
End-BEND2 (1st half) 1783
 
8.9%
End-BEND1 (1st half) 1783
 
8.9%
End-Straight (back) 1603
 
8.0%
End-Straight (home) 1199
 
6.0%

Common Values (Plot)

2023-02-22T08:24:51.791785image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Track_Sect_ByPos
Categorical

Distinct50
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size311.9 KiB
Track Pos: 100-105m
 
405
Track Pos: 085-090m
 
405
Track Pos: 090-095m
 
404
Track Pos: 075-080m
 
403
Track Pos: 130-135m
 
403
Other values (45)
17940 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTrack Pos: 100-105m
2nd rowTrack Pos: 100-105m
3rd rowTrack Pos: 100-105m
4th rowTrack Pos: 100-105m
5th rowTrack Pos: 100-105m

Common Values

ValueCountFrequency (%)
Track Pos: 100-105m 405
 
2.0%
Track Pos: 085-090m 405
 
2.0%
Track Pos: 090-095m 404
 
2.0%
Track Pos: 075-080m 403
 
2.0%
Track Pos: 130-135m 403
 
2.0%
Track Pos: 080-085m 403
 
2.0%
Track Pos: 145-150m 402
 
2.0%
Track Pos: 210-215m 402
 
2.0%
Track Pos: 005-010m 402
 
2.0%
Track Pos: 065-070m 402
 
2.0%
Other values (40) 15929
79.8%

Half_Lap
Real number (ℝ)

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.299624248
Minimum3
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:52.101513image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median7.5
Q39.5
95-th percentile11.5
Maximum11.5
Range8.5
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.584048342
Coefficient of variation (CV)0.3539974462
Kurtosis-1.197721301
Mean7.299624248
Median Absolute Deviation (MAD)2
Skewness-0.0220827773
Sum145700.5
Variance6.677305836
MonotonicityNot monotonic
2023-02-22T08:24:52.279920image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7 1134
 
5.7%
10 1134
 
5.7%
11 1133
 
5.7%
9 1131
 
5.7%
9.5 1129
 
5.7%
11.5 1127
 
5.6%
10.5 1126
 
5.6%
7.5 1126
 
5.6%
6 1121
 
5.6%
6.5 1119
 
5.6%
Other values (8) 8680
43.5%
ValueCountFrequency (%)
3 1062
5.3%
3.5 1058
5.3%
4 1083
5.4%
4.5 1077
5.4%
5 1091
5.5%
ValueCountFrequency (%)
11.5 1127
5.6%
11 1133
5.7%
10.5 1126
5.6%
10 1134
5.7%
9.5 1129
5.7%

Track_Bank_Angle
Real number (ℝ)

Distinct2893
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.4595992
Minimum13
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:52.524405image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile13.18
Q117.23
median27.405
Q337.7
95-th percentile41.82
Maximum42
Range29
Interquartile range (IQR)20.47

Descriptive statistics

Standard deviation10.24665999
Coefficient of variation (CV)0.3731540259
Kurtosis-1.498534892
Mean27.4595992
Median Absolute Deviation (MAD)10.235
Skewness0.006878512899
Sum548093.6
Variance104.9940409
MonotonicityNot monotonic
2023-02-22T08:24:52.804789image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 167
 
0.8%
13 164
 
0.8%
13.01 130
 
0.7%
41.99 119
 
0.6%
41.98 86
 
0.4%
13.02 79
 
0.4%
13.03 71
 
0.4%
41.97 67
 
0.3%
13.04 59
 
0.3%
41.96 58
 
0.3%
Other values (2883) 18960
95.0%
ValueCountFrequency (%)
13 164
0.8%
13.01 130
0.7%
13.02 79
0.4%
13.03 71
0.4%
13.04 59
 
0.3%
ValueCountFrequency (%)
42 167
0.8%
41.99 119
0.6%
41.98 86
0.4%
41.97 67
0.3%
41.96 58
 
0.3%

Track_Radius
Real number (ℝ)

Distinct4699
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360.2271386
Minimum25
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:53.189720image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile25
Q125
median33.71955683
Q31000
95-th percentile1000
Maximum1000
Range975
Interquartile range (IQR)975

Descriptive statistics

Standard deviation450.9956763
Coefficient of variation (CV)1.251975845
Kurtosis-1.492733526
Mean360.2271386
Median Absolute Deviation (MAD)8.719556826
Skewness0.6919495083
Sum7190133.686
Variance203397.1
MonotonicityNot monotonic
2023-02-22T08:24:53.521910image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 8739
43.8%
1000 6524
32.7%
94.04239035 1
 
< 0.1%
99.51850424 1
 
< 0.1%
102.5006396 1
 
< 0.1%
105.6655159 1
 
< 0.1%
109.0305545 1
 
< 0.1%
112.6154834 1
 
< 0.1%
116.4427315 1
 
< 0.1%
120.5379069 1
 
< 0.1%
Other values (4689) 4689
23.5%
ValueCountFrequency (%)
25 8739
43.8%
25.00159658 1
 
< 0.1%
25.00652157 1
 
< 0.1%
25.00656854 1
 
< 0.1%
25.00787867 1
 
< 0.1%
ValueCountFrequency (%)
1000 6524
32.7%
998.0252435 1
 
< 0.1%
993.416958 1
 
< 0.1%
992.9906168 1
 
< 0.1%
988.6235456 1
 
< 0.1%

Track_Curvature
Real number (ℝ)

Distinct4699
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02265358103
Minimum0.001
Maximum0.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:53.872412image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.001
Q10.001
median0.02965639231
Q30.04
95-th percentile0.04
Maximum0.04
Range0.039
Interquartile range (IQR)0.039

Descriptive statistics

Standard deviation0.01777698253
Coefficient of variation (CV)0.7847316727
Kurtosis-1.806649415
Mean0.02265358103
Median Absolute Deviation (MAD)0.01034360769
Skewness-0.2192329628
Sum452.1654773
Variance0.0003160211079
MonotonicityNot monotonic
2023-02-22T08:24:54.165545image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04 8739
43.8%
0.001 6524
32.7%
0.01063350258 1
 
< 0.1%
0.01004838254 1
 
< 0.1%
0.009756036679 1
 
< 0.1%
0.009463825466 1
 
< 0.1%
0.009171740935 1
 
< 0.1%
0.008879773628 1
 
< 0.1%
0.008587912593 1
 
< 0.1%
0.008296145388 1
 
< 0.1%
Other values (4689) 4689
23.5%
ValueCountFrequency (%)
0.001 6524
32.7%
0.001001978664 1
 
< 0.1%
0.001006626666 1
 
< 0.1%
0.001007058861 1
 
< 0.1%
0.001011507367 1
 
< 0.1%
ValueCountFrequency (%)
0.04 8739
43.8%
0.03999744563 1
 
< 0.1%
0.03998956821 1
 
< 0.1%
0.03998949309 1
 
< 0.1%
0.0399873981 1
 
< 0.1%

Track Speed
Real number (ℝ)

Distinct19955
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.27257464
Minimum10.75626549
Maximum12.05735503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:54.498377image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.75626549
5-th percentile10.9458693
Q111.05652609
median11.18525123
Q311.50293315
95-th percentile11.79801079
Maximum12.05735503
Range1.30108954
Interquartile range (IQR)0.4464070633

Descriptive statistics

Standard deviation0.2757168774
Coefficient of variation (CV)0.02445908642
Kurtosis-0.4300540835
Mean11.27257464
Median Absolute Deviation (MAD)0.1610255858
Skewness0.7323017076
Sum225000.5899
Variance0.07601979647
MonotonicityNot monotonic
2023-02-22T08:24:54.918346image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.06471486 2
 
< 0.1%
11.13884673 2
 
< 0.1%
11.11605065 2
 
< 0.1%
11.09311655 2
 
< 0.1%
11.23601529 2
 
< 0.1%
11.05342599 1
 
< 0.1%
11.07418612 1
 
< 0.1%
11.06973254 1
 
< 0.1%
11.06539998 1
 
< 0.1%
11.0612182 1
 
< 0.1%
Other values (19945) 19945
99.9%
ValueCountFrequency (%)
10.75626549 1
< 0.1%
10.75778618 1
< 0.1%
10.75961964 1
< 0.1%
10.76175854 1
< 0.1%
10.76242806 1
< 0.1%
ValueCountFrequency (%)
12.05735503 1
< 0.1%
12.05720852 1
< 0.1%
12.05712793 1
< 0.1%
12.05670782 1
< 0.1%
12.05650782 1
< 0.1%

Power
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266.515231
Minimum185.6945657
Maximum371.1105663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:55.287926image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum185.6945657
5-th percentile215.03115
Q1244.657701
median267.7985562
Q3285.6053163
95-th percentile328.1634376
Maximum371.1105663
Range185.4160006
Interquartile range (IQR)40.94761533

Descriptive statistics

Standard deviation32.33905811
Coefficient of variation (CV)0.1213403751
Kurtosis0.2125588191
Mean266.515231
Median Absolute Deviation (MAD)19.75736359
Skewness0.1802520282
Sum5319644.012
Variance1045.81468
MonotonicityNot monotonic
2023-02-22T08:24:55.688071image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362.8874123 1
 
< 0.1%
251.691727 1
 
< 0.1%
251.5018873 1
 
< 0.1%
251.5922171 1
 
< 0.1%
251.6573787 1
 
< 0.1%
251.6975048 1
 
< 0.1%
251.7169438 1
 
< 0.1%
251.7189358 1
 
< 0.1%
251.7085002 1
 
< 0.1%
251.6737936 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
185.6945657 1
< 0.1%
185.6946493 1
< 0.1%
185.7385467 1
< 0.1%
185.7425907 1
< 0.1%
185.8218858 1
< 0.1%
ValueCountFrequency (%)
371.1105663 1
< 0.1%
371.1049001 1
< 0.1%
371.0424663 1
< 0.1%
371.0359409 1
< 0.1%
370.9161698 1
< 0.1%

Ground_Speed
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.3368503
Minimum10.90130893
Maximum12.05157075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:56.102387image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.90130893
5-th percentile10.99117278
Q111.11656754
median11.26942169
Q311.54049094
95-th percentile11.85092249
Maximum12.05157075
Range1.15026182
Interquartile range (IQR)0.423923399

Descriptive statistics

Standard deviation0.2713639692
Coefficient of variation (CV)0.02393645166
Kurtosis-0.5508718357
Mean11.3368503
Median Absolute Deviation (MAD)0.180859963
Skewness0.6740188878
Sum226283.532
Variance0.07363840376
MonotonicityNot monotonic
2023-02-22T08:24:56.484072image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.57189709 1
 
< 0.1%
11.07320945 1
 
< 0.1%
11.08697307 1
 
< 0.1%
11.08514032 1
 
< 0.1%
11.08324593 1
 
< 0.1%
11.0812997 1
 
< 0.1%
11.07931195 1
 
< 0.1%
11.0772935 1
 
< 0.1%
11.07525551 1
 
< 0.1%
11.07116694 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
10.90130893 1
< 0.1%
10.90135041 1
< 0.1%
10.90136021 1
< 0.1%
10.90148481 1
< 0.1%
10.90150307 1
< 0.1%
ValueCountFrequency (%)
12.05157075 1
< 0.1%
12.05153079 1
< 0.1%
12.05150018 1
< 0.1%
12.05137806 1
< 0.1%
12.05132147 1
< 0.1%

Orig_Ground_Speed
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.33783026
Minimum10.86730626
Maximum12.06077677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:57.276803image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.86730626
5-th percentile10.98665349
Q111.12132934
median11.27223628
Q311.53735918
95-th percentile11.85712483
Maximum12.06077677
Range1.193470513
Interquartile range (IQR)0.4160298355

Descriptive statistics

Standard deviation0.2719772782
Coefficient of variation (CV)0.0239884768
Kurtosis-0.5474786431
Mean11.33783026
Median Absolute Deviation (MAD)0.1801720663
Skewness0.667241493
Sum226303.0921
Variance0.07397163987
MonotonicityNot monotonic
2023-02-22T08:24:57.649954image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.61204354 1
 
< 0.1%
11.140625 1
 
< 0.1%
11.12932289 1
 
< 0.1%
11.1319752 1
 
< 0.1%
11.1343196 1
 
< 0.1%
11.13644974 1
 
< 0.1%
11.13809055 1
 
< 0.1%
11.13934706 1
 
< 0.1%
11.14007403 1
 
< 0.1%
11.14059192 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
10.86730626 1
< 0.1%
10.86731712 1
< 0.1%
10.86749723 1
< 0.1%
10.86756889 1
< 0.1%
10.8680787 1
< 0.1%
ValueCountFrequency (%)
12.06077677 1
< 0.1%
12.06067582 1
< 0.1%
12.06062558 1
< 0.1%
12.06032247 1
< 0.1%
12.06022249 1
< 0.1%

Air_Speed
Real number (ℝ)

Distinct19937
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.27057715
Minimum10.62970223
Maximum12.12643544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:57.957826image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.62970223
5-th percentile10.84157184
Q111.02797375
median11.19181154
Q311.45431744
95-th percentile11.93012869
Maximum12.12643544
Range1.496733211
Interquartile range (IQR)0.4263436884

Descriptive statistics

Standard deviation0.3327435942
Coefficient of variation (CV)0.02952320805
Kurtosis-0.3769918543
Mean11.27057715
Median Absolute Deviation (MAD)0.1882928163
Skewness0.7267693567
Sum224960.72
Variance0.1107182995
MonotonicityNot monotonic
2023-02-22T08:24:58.340807image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.26015063 2
 
< 0.1%
12.10105856 2
 
< 0.1%
11.28273438 2
 
< 0.1%
11.11401685 2
 
< 0.1%
11.04983533 2
 
< 0.1%
12.09731381 2
 
< 0.1%
12.09832326 2
 
< 0.1%
12.09929756 2
 
< 0.1%
12.10180572 2
 
< 0.1%
11.28077691 2
 
< 0.1%
Other values (19927) 19940
99.9%
ValueCountFrequency (%)
10.62970223 1
< 0.1%
10.62987507 1
< 0.1%
10.63034837 1
< 0.1%
10.63081141 1
< 0.1%
10.63186754 1
< 0.1%
ValueCountFrequency (%)
12.12643544 1
< 0.1%
12.12638975 1
< 0.1%
12.1262406 1
< 0.1%
12.12608273 1
< 0.1%
12.12575421 1
< 0.1%

Cadence
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.13750176
Minimum93.48808542
Maximum102.9567795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:58.766603image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum93.48808542
5-th percentile94.29891657
Q195.26656621
median96.54174243
Q398.81327094
95-th percentile101.5003804
Maximum102.9567795
Range9.468694054
Interquartile range (IQR)3.546704731

Descriptive statistics

Standard deviation2.303972067
Coefficient of variation (CV)0.0237186671
Kurtosis-0.5753682267
Mean97.13750176
Median Absolute Deviation (MAD)1.49299307
Skewness0.6965590408
Sum1938864.535
Variance5.308287285
MonotonicityNot monotonic
2023-02-22T08:24:59.145536image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.11055472 1
 
< 0.1%
95.13833645 1
 
< 0.1%
95.12561874 1
 
< 0.1%
95.13041521 1
 
< 0.1%
95.13474765 1
 
< 0.1%
95.13837548 1
 
< 0.1%
95.14044795 1
 
< 0.1%
95.1413137 1
 
< 0.1%
95.1409015 1
 
< 0.1%
95.1337848 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
93.48808542 1
< 0.1%
93.48864113 1
< 0.1%
93.48942267 1
< 0.1%
93.49083948 1
< 0.1%
93.49337273 1
< 0.1%
ValueCountFrequency (%)
102.9567795 1
< 0.1%
102.9562297 1
< 0.1%
102.954897 1
< 0.1%
102.9528278 1
< 0.1%
102.950773 1
< 0.1%

CdA
Real number (ℝ)

Distinct19959
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1788254706
Minimum0.1035482734
Maximum0.2460415537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:24:59.537521image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1035482734
5-th percentile0.1356380283
Q10.1650324444
median0.1784752161
Q30.1947141347
95-th percentile0.2187823593
Maximum0.2460415537
Range0.1424932803
Interquartile range (IQR)0.02968169025

Descriptive statistics

Standard deviation0.0239026408
Coefficient of variation (CV)0.1336646324
Kurtosis0.532888386
Mean0.1788254706
Median Absolute Deviation (MAD)0.01459033892
Skewness-0.1832782148
Sum3569.356394
Variance0.0005713362374
MonotonicityNot monotonic
2023-02-22T08:24:59.933053image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1703647822 2
 
< 0.1%
0.2109468396 1
 
< 0.1%
0.1693099304 1
 
< 0.1%
0.1678426197 1
 
< 0.1%
0.1681095225 1
 
< 0.1%
0.1683682418 1
 
< 0.1%
0.168618208 1
 
< 0.1%
0.1688589112 1
 
< 0.1%
0.1690898429 1
 
< 0.1%
0.1695187251 1
 
< 0.1%
Other values (19949) 19949
99.9%
ValueCountFrequency (%)
0.1035482734 1
< 0.1%
0.1035503416 1
< 0.1%
0.1035538075 1
< 0.1%
0.1035600825 1
< 0.1%
0.103567428 1
< 0.1%
ValueCountFrequency (%)
0.2460415537 1
< 0.1%
0.2460395546 1
< 0.1%
0.2460219402 1
< 0.1%
0.2460159107 1
< 0.1%
0.2459813978 1
< 0.1%

Drag
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-13.54458687
Minimum-20.47284495
Maximum-7.815704903
Zeros0
Zeros (%)0.0%
Negative19960
Negative (%)100.0%
Memory size311.9 KiB
2023-02-22T08:25:00.362036image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-20.47284495
5-th percentile-17.61124003
Q1-14.74779551
median-13.26445155
Q3-12.19490219
95-th percentile-9.883542329
Maximum-7.815704903
Range12.65714005
Interquartile range (IQR)2.552893317

Descriptive statistics

Standard deviation2.224570629
Coefficient of variation (CV)-0.1642405671
Kurtosis0.1176807341
Mean-13.54458687
Median Absolute Deviation (MAD)1.237276809
Skewness-0.3130991784
Sum-270349.9539
Variance4.948714481
MonotonicityNot monotonic
2023-02-22T08:25:00.759719image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-17.41780892 1
 
< 0.1%
-12.44226575 1
 
< 0.1%
-12.43835183 1
 
< 0.1%
-12.46285268 1
 
< 0.1%
-12.47827988 1
 
< 0.1%
-12.48084701 1
 
< 0.1%
-12.47633765 1
 
< 0.1%
-12.46749712 1
 
< 0.1%
-12.45240515 1
 
< 0.1%
-12.42275923 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-20.47284495 1
< 0.1%
-20.47023985 1
< 0.1%
-20.46612252 1
< 0.1%
-20.4659724 1
< 0.1%
-20.46368016 1
< 0.1%
ValueCountFrequency (%)
-7.815704903 1
< 0.1%
-7.820732039 1
< 0.1%
-7.830780218 1
< 0.1%
-7.845375195 1
< 0.1%
-7.860995643 1
< 0.1%

Total_Fx
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-13.52238472
Minimum-20.94887675
Maximum-6.751761535
Zeros0
Zeros (%)0.0%
Negative19960
Negative (%)100.0%
Memory size311.9 KiB
2023-02-22T08:25:01.165508image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-20.94887675
5-th percentile-17.72980566
Q1-14.85749966
median-13.3299146
Q3-12.0832964
95-th percentile-9.829233729
Maximum-6.751761535
Range14.19711522
Interquartile range (IQR)2.77420326

Descriptive statistics

Standard deviation2.29519922
Coefficient of variation (CV)-0.1697333176
Kurtosis0.1751764933
Mean-13.52238472
Median Absolute Deviation (MAD)1.351598547
Skewness-0.2708604174
Sum-269906.799
Variance5.26793946
MonotonicityNot monotonic
2023-02-22T08:25:01.523928image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-17.83437838 1
 
< 0.1%
-12.25556133 1
 
< 0.1%
-12.45280575 1
 
< 0.1%
-12.43342522 1
 
< 0.1%
-12.40525033 1
 
< 0.1%
-12.379004 1
 
< 0.1%
-12.34760436 1
 
< 0.1%
-12.31791029 1
 
< 0.1%
-12.28490539 1
 
< 0.1%
-12.23275196 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-20.94887675 1
< 0.1%
-20.94504477 1
< 0.1%
-20.94437864 1
< 0.1%
-20.9402239 1
< 0.1%
-20.93450882 1
< 0.1%
ValueCountFrequency (%)
-6.751761535 1
< 0.1%
-6.756257085 1
< 0.1%
-6.757707418 1
< 0.1%
-6.779773997 1
< 0.1%
-6.781746282 1
< 0.1%

Total_Weight
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84727.66175
Minimum78504.96227
Maximum92513.41772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:01.940717image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum78504.96227
5-th percentile78871.58613
Q180098.78676
median84752.92427
Q389112.03627
95-th percentile91051.52398
Maximum92513.41772
Range14008.45545
Interquartile range (IQR)9013.249506

Descriptive statistics

Standard deviation4467.453421
Coefficient of variation (CV)0.05272721244
Kurtosis-1.526751939
Mean84727.66175
Median Absolute Deviation (MAD)4451.47553
Skewness0.03097894879
Sum1691164128
Variance19958140.07
MonotonicityNot monotonic
2023-02-22T08:25:02.362497image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83422.11975 1
 
< 0.1%
79700.41115 1
 
< 0.1%
79540.54974 1
 
< 0.1%
79563.51904 1
 
< 0.1%
79593.37537 1
 
< 0.1%
79617.18437 1
 
< 0.1%
79640.13556 1
 
< 0.1%
79662.50453 1
 
< 0.1%
79684.12827 1
 
< 0.1%
79722.1771 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
78504.96227 1
< 0.1%
78505.03732 1
< 0.1%
78506.17853 1
< 0.1%
78506.24836 1
< 0.1%
78508.3115 1
< 0.1%
ValueCountFrequency (%)
92513.41772 1
< 0.1%
92513.05498 1
< 0.1%
92512.95933 1
< 0.1%
92511.97474 1
< 0.1%
92511.73309 1
< 0.1%

Total_Fy
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84735.96887
Minimum76820.44456
Maximum93621.19226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:02.793312image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum76820.44456
5-th percentile78399.83136
Q179516.29406
median84876.1066
Q389534.34713
95-th percentile91713.76529
Maximum93621.19226
Range16800.7477
Interquartile range (IQR)10018.05307

Descriptive statistics

Standard deviation4896.781882
Coefficient of variation (CV)0.0577887047
Kurtosis-1.576980526
Mean84735.96887
Median Absolute Deviation (MAD)5003.179197
Skewness0.01729459141
Sum1691329939
Variance23978472.8
MonotonicityNot monotonic
2023-02-22T08:25:03.167215image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79836.34842 1
 
< 0.1%
78197.88082 1
 
< 0.1%
78365.22643 1
 
< 0.1%
78341.80841 1
 
< 0.1%
78320.2228 1
 
< 0.1%
78298.62078 1
 
< 0.1%
78275.85368 1
 
< 0.1%
78250.70319 1
 
< 0.1%
78224.2824 1
 
< 0.1%
78170.14722 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
76820.44456 1
< 0.1%
76827.19139 1
< 0.1%
76830.61021 1
< 0.1%
76851.44 1
< 0.1%
76853.93633 1
< 0.1%
ValueCountFrequency (%)
93621.19226 1
< 0.1%
93619.49998 1
< 0.1%
93612.70985 1
< 0.1%
93609.23786 1
< 0.1%
93593.60526 1
< 0.1%

Crank-Angle-Delta
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.829789715
Minimum5.603560644
Maximum6.184330392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:03.549439image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum5.603560644
5-th percentile5.657364912
Q15.717417143
median5.79383276
Q35.931419851
95-th percentile6.09258523
Maximum6.184330392
Range0.5807697478
Interquartile range (IQR)0.2140027081

Descriptive statistics

Standard deviation0.1386023967
Coefficient of variation (CV)0.02377485355
Kurtosis-0.5680968535
Mean5.829789715
Median Absolute Deviation (MAD)0.09022086763
Skewness0.6926734437
Sum116362.6027
Variance0.01921062436
MonotonicityNot monotonic
2023-02-22T08:25:03.875474image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.949901197 1
 
< 0.1%
5.71183097 1
 
< 0.1%
5.708541576 1
 
< 0.1%
5.709377503 1
 
< 0.1%
5.710111583 1
 
< 0.1%
5.710737393 1
 
< 0.1%
5.71132891 1
 
< 0.1%
5.711718997 1
 
< 0.1%
5.711861187 1
 
< 0.1%
5.7116638 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
5.603560644 1
< 0.1%
5.603674917 1
< 0.1%
5.603910365 1
< 0.1%
5.604324447 1
< 0.1%
5.604630019 1
< 0.1%
ValueCountFrequency (%)
6.184330392 1
< 0.1%
6.18427163 1
< 0.1%
6.184256168 1
< 0.1%
6.184021956 1
< 0.1%
6.184010172 1
< 0.1%

Wheel_Circ
Real number (ℝ)

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2100
Minimum2100
Maximum2100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:04.169053image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2100
5-th percentile2100
Q12100
median2100
Q32100
95-th percentile2100
Maximum2100
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2100
Median Absolute Deviation (MAD)0
Skewness0
Sum41916000
Variance0
MonotonicityIncreasing
2023-02-22T08:25:04.390711image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2100 19960
100.0%
ValueCountFrequency (%)
2100 19960
100.0%
ValueCountFrequency (%)
2100 19960
100.0%

Chainring
Real number (ℝ)

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum50
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:04.632266image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile50
Q150
median50
Q350
95-th percentile50
Maximum50
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean50
Median Absolute Deviation (MAD)0
Skewness0
Sum998000
Variance0
MonotonicityIncreasing
2023-02-22T08:25:04.788320image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
50 19960
100.0%
ValueCountFrequency (%)
50 19960
100.0%
ValueCountFrequency (%)
50 19960
100.0%

Sprocket
Real number (ℝ)

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum15
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:05.048223image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q115
median15
Q315
95-th percentile15
Maximum15
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean15
Median Absolute Deviation (MAD)0
Skewness0
Sum299400
Variance0
MonotonicityIncreasing
2023-02-22T08:25:05.227892image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
15 19960
100.0%
ValueCountFrequency (%)
15 19960
100.0%
ValueCountFrequency (%)
15 19960
100.0%

Cadence_Speed
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.33270854
Minimum10.9069433
Maximum12.01162427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:05.512110image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.9069433
5-th percentile11.00154027
Q111.11443272
median11.26320328
Q311.52821494
95-th percentile11.84171105
Maximum12.01162427
Range1.104680973
Interquartile range (IQR)0.4137822186

Descriptive statistics

Standard deviation0.2687967411
Coefficient of variation (CV)0.0237186671
Kurtosis-0.5753682267
Mean11.33270854
Median Absolute Deviation (MAD)0.1741825249
Skewness0.6965590408
Sum226200.8624
Variance0.07225168805
MonotonicityNot monotonic
2023-02-22T08:25:05.886815image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.56289805 1
 
< 0.1%
11.09947259 1
 
< 0.1%
11.09798885 1
 
< 0.1%
11.09854844 1
 
< 0.1%
11.09905389 1
 
< 0.1%
11.09947714 1
 
< 0.1%
11.09971893 1
 
< 0.1%
11.09981993 1
 
< 0.1%
11.09977184 1
 
< 0.1%
11.09894156 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
10.9069433 1
< 0.1%
10.90700813 1
< 0.1%
10.90709931 1
< 0.1%
10.90726461 1
< 0.1%
10.90756015 1
< 0.1%
ValueCountFrequency (%)
12.01162427 1
< 0.1%
12.01156013 1
< 0.1%
12.01140465 1
< 0.1%
12.01116325 1
< 0.1%
12.01092352 1
< 0.1%

gear_ratio
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.333667646
Minimum3.308510634
Maximum3.360340085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:06.276503image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum3.308510634
5-th percentile3.320508019
Q13.328055462
median3.333666344
Q33.339023953
95-th percentile3.347085419
Maximum3.360340085
Range0.05182945098
Interquartile range (IQR)0.01096849088

Descriptive statistics

Standard deviation0.008025499141
Coefficient of variation (CV)0.002407408294
Kurtosis0.01263062188
Mean3.333667646
Median Absolute Deviation (MAD)0.00548539366
Skewness0.08079172835
Sum66540.00622
Variance6.440863646 × 10-5
MonotonicityNot monotonic
2023-02-22T08:25:06.650782image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.334095342 1
 
< 0.1%
3.323390497 1
 
< 0.1%
3.329438754 1
 
< 0.1%
3.328400984 1
 
< 0.1%
3.327404359 1
 
< 0.1%
3.326455492 1
 
< 0.1%
3.325514342 1
 
< 0.1%
3.324681414 1
 
< 0.1%
3.323986995 1
 
< 0.1%
3.322874732 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
3.308510634 1
< 0.1%
3.308560954 1
< 0.1%
3.308655155 1
< 0.1%
3.308806934 1
< 0.1%
3.308934277 1
< 0.1%
ValueCountFrequency (%)
3.360340085 1
< 0.1%
3.360302733 1
< 0.1%
3.360114236 1
< 0.1%
3.360044955 1
< 0.1%
3.35968113 1
< 0.1%

gear_inches
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.00902645
Minimum89.32978712
Maximum90.7291823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:06.984385image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum89.32978712
5-th percentile89.65371651
Q189.85749747
median90.00899128
Q390.15364673
95-th percentile90.37130632
Maximum90.7291823
Range1.399395176
Interquartile range (IQR)0.2961492537

Descriptive statistics

Standard deviation0.2166884768
Coefficient of variation (CV)0.002407408294
Kurtosis0.01263062188
Mean90.00902645
Median Absolute Deviation (MAD)0.1481056288
Skewness0.08079172835
Sum1796580.168
Variance0.04695389598
MonotonicityNot monotonic
2023-02-22T08:25:07.277833image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.02057424 1
 
< 0.1%
89.73154343 1
 
< 0.1%
89.89484635 1
 
< 0.1%
89.86682657 1
 
< 0.1%
89.83991769 1
 
< 0.1%
89.81429829 1
 
< 0.1%
89.78888722 1
 
< 0.1%
89.76639819 1
 
< 0.1%
89.74764887 1
 
< 0.1%
89.71761776 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
89.32978712 1
< 0.1%
89.33114575 1
< 0.1%
89.33368917 1
< 0.1%
89.33778721 1
< 0.1%
89.34122549 1
< 0.1%
ValueCountFrequency (%)
90.7291823 1
< 0.1%
90.72817379 1
< 0.1%
90.72308437 1
< 0.1%
90.72121379 1
< 0.1%
90.71139051 1
< 0.1%

Crank_Speed
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.33570222
Minimum10.89581236
Maximum12.02508687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:07.692035image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.89581236
5-th percentile11.00043177
Q111.1172
median11.26578592
Q311.53331638
95-th percentile11.8466935
Maximum12.02508687
Range1.12927451
Interquartile range (IQR)0.4161163768

Descriptive statistics

Standard deviation0.2695046602
Coefficient of variation (CV)0.02377485355
Kurtosis-0.5680968535
Mean11.33570222
Median Absolute Deviation (MAD)0.1754294648
Skewness0.6926734437
Sum226260.6164
Variance0.07263276187
MonotonicityNot monotonic
2023-02-22T08:25:07.996775image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.56925233 1
 
< 0.1%
11.106338 1
 
< 0.1%
11.09994195 1
 
< 0.1%
11.10156737 1
 
< 0.1%
11.10299474 1
 
< 0.1%
11.1042116 1
 
< 0.1%
11.10536177 1
 
< 0.1%
11.10612027 1
 
< 0.1%
11.10639675 1
 
< 0.1%
11.10601294 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
10.89581236 1
< 0.1%
10.89603456 1
< 0.1%
10.89649238 1
< 0.1%
10.89729753 1
< 0.1%
10.8978917 1
< 0.1%
ValueCountFrequency (%)
12.02508687 1
< 0.1%
12.02497261 1
< 0.1%
12.02494255 1
< 0.1%
12.02448714 1
< 0.1%
12.02446422 1
< 0.1%

lean_angle_spd
Real number (ℝ)

Distinct2557
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.72784719
Minimum0
Maximum30.63
Zeros6407
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:08.388099image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21.19
Q327.54
95-th percentile29.78
Maximum30.63
Range30.63
Interquartile range (IQR)27.54

Descriptive statistics

Standard deviation12.73801338
Coefficient of variation (CV)0.8099019036
Kurtosis-1.777326816
Mean15.72784719
Median Absolute Deviation (MAD)8.43
Skewness-0.236356123
Sum313927.83
Variance162.2569849
MonotonicityNot monotonic
2023-02-22T08:25:08.740445image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6407
32.1%
27.42 96
 
0.5%
27.52 85
 
0.4%
27.44 84
 
0.4%
27.53 81
 
0.4%
27.55 72
 
0.4%
26.83 72
 
0.4%
27.43 71
 
0.4%
27.17 68
 
0.3%
28.33 62
 
0.3%
Other values (2547) 12862
64.4%
ValueCountFrequency (%)
0 6407
32.1%
0.7 14
 
0.1%
0.71 22
 
0.1%
0.72 25
 
0.1%
0.73 10
 
0.1%
ValueCountFrequency (%)
30.63 9
< 0.1%
30.62 8
< 0.1%
30.61 4
< 0.1%
30.6 4
< 0.1%
30.59 3
 
< 0.1%

lean_angle_wgt
Real number (ℝ)

Distinct3552
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.45764679
Minimum-13.03
Maximum31.76
Zeros4005
Zeros (%)20.1%
Negative1799
Negative (%)9.0%
Memory size311.9 KiB
2023-02-22T08:25:09.104997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-13.03
5-th percentile-6.0605
Q10
median20.305
Q327.25
95-th percentile29.78
Maximum31.76
Range44.79
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation12.8936778
Coefficient of variation (CV)0.8341294102
Kurtosis-1.365517044
Mean15.45764679
Median Absolute Deviation (MAD)8.23
Skewness-0.4602590444
Sum308534.63
Variance166.2469273
MonotonicityNot monotonic
2023-02-22T08:25:09.516802image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4005
 
20.1%
27.19 37
 
0.2%
27.68 34
 
0.2%
27.32 32
 
0.2%
27.43 32
 
0.2%
27.8 31
 
0.2%
27.6 31
 
0.2%
27.57 31
 
0.2%
27.2 31
 
0.2%
27.38 29
 
0.1%
Other values (3542) 15667
78.5%
ValueCountFrequency (%)
-13.03 2
< 0.1%
-13.02 1
< 0.1%
-13 2
< 0.1%
-12.98 1
< 0.1%
-12.95 1
< 0.1%
ValueCountFrequency (%)
31.76 2
< 0.1%
31.75 2
< 0.1%
31.74 1
< 0.1%
31.73 1
< 0.1%
31.71 2
< 0.1%

CoM_Radius
Real number (ℝ)

Distinct14157
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.9732702
Minimum22.88974316
Maximum1921.876611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:09.929561image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum22.88974316
5-th percentile24.19580113
Q125.46053836
median35.26098767
Q31000
95-th percentile1000
Maximum1921.876611
Range1898.986868
Interquartile range (IQR)974.5394616

Descriptive statistics

Standard deviation437.315246
Coefficient of variation (CV)1.358234632
Kurtosis-1.16789197
Mean321.9732702
Median Absolute Deviation (MAD)10.77957371
Skewness0.8970893712
Sum6426586.473
Variance191244.6244
MonotonicityNot monotonic
2023-02-22T08:25:10.360748image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 5804
29.1%
72.24458017 1
 
< 0.1%
125.5154838 1
 
< 0.1%
121.8687647 1
 
< 0.1%
117.055836 1
 
< 0.1%
111.5409855 1
 
< 0.1%
105.5639091 1
 
< 0.1%
99.48352348 1
 
< 0.1%
93.68417878 1
 
< 0.1%
88.29475818 1
 
< 0.1%
Other values (14147) 14147
70.9%
ValueCountFrequency (%)
22.88974316 1
< 0.1%
22.88995841 1
< 0.1%
22.89970396 1
< 0.1%
22.90851328 1
< 0.1%
22.91898846 1
< 0.1%
ValueCountFrequency (%)
1921.876611 1
< 0.1%
1459.426468 1
< 0.1%
1393.571982 1
< 0.1%
1365.170662 1
< 0.1%
1362.396849 1
< 0.1%

CoMr_Radius
Real number (ℝ)

Distinct14988
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.9472043
Minimum22.84139965
Maximum1921.87593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:10.749339image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum22.84139965
5-th percentile24.14858901
Q125.41380195
median35.22649971
Q31000
95-th percentile1000.010644
Maximum1921.87593
Range1899.034531
Interquartile range (IQR)974.5861981

Descriptive statistics

Standard deviation437.3348008
Coefficient of variation (CV)1.358405338
Kurtosis-1.167897954
Mean321.9472043
Median Absolute Deviation (MAD)10.79355922
Skewness0.8970822841
Sum6426066.198
Variance191261.728
MonotonicityNot monotonic
2023-02-22T08:25:11.084864image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 4005
 
20.1%
1000.01191 7
 
< 0.1%
1000.00875 7
 
< 0.1%
1000.012862 7
 
< 0.1%
1000.014574 7
 
< 0.1%
1000.011442 6
 
< 0.1%
1000.011407 6
 
< 0.1%
1000.012914 6
 
< 0.1%
1000.009567 6
 
< 0.1%
1000.010366 6
 
< 0.1%
Other values (14978) 15897
79.6%
ValueCountFrequency (%)
22.84139965 1
< 0.1%
22.84161489 1
< 0.1%
22.85137572 1
< 0.1%
22.86020032 1
< 0.1%
22.87069078 1
< 0.1%
ValueCountFrequency (%)
1921.87593 1
< 0.1%
1459.425525 1
< 0.1%
1393.571057 1
< 0.1%
1365.169755 1
< 0.1%
1362.395942 1
< 0.1%

CoP_Radius
Real number (ℝ)

Distinct14988
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.9472043
Minimum22.84139965
Maximum1921.87593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:11.536735image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum22.84139965
5-th percentile24.14858901
Q125.41380195
median35.22649971
Q31000
95-th percentile1000.010644
Maximum1921.87593
Range1899.034531
Interquartile range (IQR)974.5861981

Descriptive statistics

Standard deviation437.3348008
Coefficient of variation (CV)1.358405338
Kurtosis-1.167897954
Mean321.9472043
Median Absolute Deviation (MAD)10.79355922
Skewness0.8970822841
Sum6426066.198
Variance191261.728
MonotonicityNot monotonic
2023-02-22T08:25:11.856109image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 4005
 
20.1%
1000.01191 7
 
< 0.1%
1000.00875 7
 
< 0.1%
1000.012862 7
 
< 0.1%
1000.014574 7
 
< 0.1%
1000.011442 6
 
< 0.1%
1000.011407 6
 
< 0.1%
1000.012914 6
 
< 0.1%
1000.009567 6
 
< 0.1%
1000.010366 6
 
< 0.1%
Other values (14978) 15897
79.6%
ValueCountFrequency (%)
22.84139965 1
< 0.1%
22.84161489 1
< 0.1%
22.85137572 1
< 0.1%
22.86020032 1
< 0.1%
22.87069078 1
< 0.1%
ValueCountFrequency (%)
1921.87593 1
< 0.1%
1459.425525 1
< 0.1%
1393.571057 1
< 0.1%
1365.169755 1
< 0.1%
1362.395942 1
< 0.1%

CoPr_Radius
Real number (ℝ)

Distinct14988
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.9341714
Minimum22.81722789
Maximum1921.87559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:12.294248image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum22.81722789
5-th percentile24.12473877
Q125.39037
median35.20925573
Q31000
95-th percentile1000.015966
Maximum1921.87559
Range1899.058362
Interquartile range (IQR)974.60963

Descriptive statistics

Standard deviation437.3445782
Coefficient of variation (CV)1.358490701
Kurtosis-1.167900946
Mean321.9341714
Median Absolute Deviation (MAD)10.80075198
Skewness0.89707874
Sum6425806.06
Variance191270.2801
MonotonicityNot monotonic
2023-02-22T08:25:12.693095image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 4005
 
20.1%
1000.017865 7
 
< 0.1%
1000.013126 7
 
< 0.1%
1000.019293 7
 
< 0.1%
1000.021861 7
 
< 0.1%
1000.017163 6
 
< 0.1%
1000.017111 6
 
< 0.1%
1000.019371 6
 
< 0.1%
1000.014351 6
 
< 0.1%
1000.015549 6
 
< 0.1%
Other values (14978) 15897
79.6%
ValueCountFrequency (%)
22.81722789 1
< 0.1%
22.81744314 1
< 0.1%
22.8272116 1
< 0.1%
22.83604384 1
< 0.1%
22.84654194 1
< 0.1%
ValueCountFrequency (%)
1921.87559 1
< 0.1%
1459.425054 1
< 0.1%
1393.570595 1
< 0.1%
1365.169301 1
< 0.1%
1362.395488 1
< 0.1%

Pitot_Radius
Real number (ℝ)

Distinct14988
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean322.0514679
Minimum23.03477372
Maximum1921.878653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:13.083239image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum23.03477372
5-th percentile24.34066348
Q125.60160253
median35.36618836
Q3999.9650638
95-th percentile1000
Maximum1921.878653
Range1898.843879
Interquartile range (IQR)974.3634613

Descriptive statistics

Standard deviation437.256583
Coefficient of variation (CV)1.357722683
Kurtosis-1.167874018
Mean322.0514679
Median Absolute Deviation (MAD)10.74045869
Skewness0.897110624
Sum6428147.3
Variance191193.3194
MonotonicityNot monotonic
2023-02-22T08:25:13.457553image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 4005
 
20.1%
999.9642709 7
 
< 0.1%
999.973749 7
 
< 0.1%
999.9614132 7
 
< 0.1%
999.9562787 7
 
< 0.1%
999.9656749 6
 
< 0.1%
999.9657789 6
 
< 0.1%
999.9612575 6
 
< 0.1%
999.9712984 6
 
< 0.1%
999.9689018 6
 
< 0.1%
Other values (14978) 15897
79.6%
ValueCountFrequency (%)
23.03477372 1
< 0.1%
23.03498896 1
< 0.1%
23.04468868 1
< 0.1%
23.05345215 1
< 0.1%
23.06388148 1
< 0.1%
ValueCountFrequency (%)
1921.878653 1
< 0.1%
1459.429295 1
< 0.1%
1393.574757 1
< 0.1%
1365.173385 1
< 0.1%
1362.399572 1
< 0.1%

Wheel_Radius
Real number (ℝ)

Distinct14988
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean322.2599951
Minimum23.42152186
Maximum1921.884098
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:13.848049image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum23.42152186
5-th percentile24.72493019
Q125.97678272
median35.6526118
Q3999.8719005
95-th percentile1000
Maximum1921.884098
Range1898.462577
Interquartile range (IQR)973.8951178

Descriptive statistics

Standard deviation437.1001571
Coefficient of variation (CV)1.356358728
Kurtosis-1.16782613
Mean322.2599951
Median Absolute Deviation (MAD)10.64087813
Skewness0.8971672358
Sum6432309.503
Variance191056.5474
MonotonicityNot monotonic
2023-02-22T08:25:14.229493image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 4005
 
20.1%
999.8689931 7
 
< 0.1%
999.9037462 7
 
< 0.1%
999.8585152 7
 
< 0.1%
999.8396885 7
 
< 0.1%
999.8741413 6
 
< 0.1%
999.8745228 6
 
< 0.1%
999.8579441 6
 
< 0.1%
999.8947608 6
 
< 0.1%
999.8859734 6
 
< 0.1%
Other values (14978) 15897
79.6%
ValueCountFrequency (%)
23.42152186 1
< 0.1%
23.4217371 1
< 0.1%
23.43131458 1
< 0.1%
23.43995581 1
< 0.1%
23.45026289 1
< 0.1%
ValueCountFrequency (%)
1921.884098 1
< 0.1%
1459.436835 1
< 0.1%
1393.582157 1
< 0.1%
1365.180646 1
< 0.1%
1362.406832 1
< 0.1%

CoM_velocity
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.21919668
Minimum10.79427346
Maximum11.80898435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:14.629257image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.79427346
5-th percentile10.91807832
Q111.03116001
median11.13971755
Q311.33226298
95-th percentile11.69985458
Maximum11.80898435
Range1.014710884
Interquartile range (IQR)0.3011029651

Descriptive statistics

Standard deviation0.2503054847
Coefficient of variation (CV)0.0223104641
Kurtosis-0.6606689375
Mean11.21919668
Median Absolute Deviation (MAD)0.1309130805
Skewness0.7525590413
Sum223935.1657
Variance0.06265283567
MonotonicityNot monotonic
2023-02-22T08:25:14.970873image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.57189709 1
 
< 0.1%
11.07320945 1
 
< 0.1%
11.08697307 1
 
< 0.1%
11.08514032 1
 
< 0.1%
11.08324593 1
 
< 0.1%
11.0812997 1
 
< 0.1%
11.07931195 1
 
< 0.1%
11.0772935 1
 
< 0.1%
11.07525551 1
 
< 0.1%
11.07116694 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
10.79427346 1
< 0.1%
10.79427525 1
< 0.1%
10.79451262 1
< 0.1%
10.79452164 1
< 0.1%
10.79514701 1
< 0.1%
ValueCountFrequency (%)
11.80898435 1
< 0.1%
11.8088975 1
< 0.1%
11.80888054 1
< 0.1%
11.80862632 1
< 0.1%
11.8085817 1
< 0.1%

CoMr_velocity
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.20850089
Minimum10.78168941
Maximum11.80898435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:15.328471image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.78168941
5-th percentile10.90380822
Q111.02233038
median11.12742343
Q311.32820481
95-th percentile11.68605011
Maximum11.80898435
Range1.027294934
Interquartile range (IQR)0.3058744248

Descriptive statistics

Standard deviation0.2503361915
Coefficient of variation (CV)0.0223344936
Kurtosis-0.6434727603
Mean11.20850089
Median Absolute Deviation (MAD)0.1283749754
Skewness0.7491631191
Sum223721.6778
Variance0.06266820875
MonotonicityNot monotonic
2023-02-22T08:25:15.733696image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.57189709 1
 
< 0.1%
11.07320945 1
 
< 0.1%
11.08697307 1
 
< 0.1%
11.08514032 1
 
< 0.1%
11.08324593 1
 
< 0.1%
11.0812997 1
 
< 0.1%
11.07931195 1
 
< 0.1%
11.0772935 1
 
< 0.1%
11.07525551 1
 
< 0.1%
11.07116694 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
10.78168941 1
< 0.1%
10.78169942 1
< 0.1%
10.78193607 1
< 0.1%
10.78196245 1
< 0.1%
10.78258574 1
< 0.1%
ValueCountFrequency (%)
11.80898435 1
< 0.1%
11.8088975 1
< 0.1%
11.80888054 1
< 0.1%
11.80862632 1
< 0.1%
11.8085817 1
< 0.1%

Pitot_velocity
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.25128403
Minimum10.83199557
Maximum11.84498473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:16.090731image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.83199557
5-th percentile10.95787639
Q111.05851837
median11.17148884
Q311.3818407
95-th percentile11.72476362
Maximum11.84498473
Range1.012989159
Interquartile range (IQR)0.3233223264

Descriptive statistics

Standard deviation0.252231595
Coefficient of variation (CV)0.02241802752
Kurtosis-0.680738356
Mean11.25128403
Median Absolute Deviation (MAD)0.1406028979
Skewness0.7509258527
Sum224575.6292
Variance0.0636207775
MonotonicityNot monotonic
2023-02-22T08:25:16.445168image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.57189709 1
 
< 0.1%
11.07320945 1
 
< 0.1%
11.08697307 1
 
< 0.1%
11.08514032 1
 
< 0.1%
11.08324593 1
 
< 0.1%
11.0812997 1
 
< 0.1%
11.07931195 1
 
< 0.1%
11.0772935 1
 
< 0.1%
11.07525551 1
 
< 0.1%
11.07116694 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
10.83199557 1
< 0.1%
10.83203278 1
< 0.1%
10.83216315 1
< 0.1%
10.83227834 1
< 0.1%
10.83272201 1
< 0.1%
ValueCountFrequency (%)
11.84498473 1
< 0.1%
11.84492898 1
< 0.1%
11.84491677 1
< 0.1%
11.84488496 1
< 0.1%
11.84472544 1
< 0.1%

Density
Real number (ℝ)

Distinct55
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.213172464
Minimum1.210078342
Maximum1.214495406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:16.905022image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1.210078342
5-th percentile1.210221759
Q11.210279881
median1.214341301
Q31.214389231
95-th percentile1.214437134
Maximum1.214495406
Range0.004417063958
Interquartile range (IQR)0.004109350362

Descriptive statistics

Standard deviation0.001861151042
Coefficient of variation (CV)0.001534119095
Kurtosis-1.118928793
Mean1.213172464
Median Absolute Deviation (MAD)4.795698369 × 10-5
Skewness-0.9368620569
Sum24214.92238
Variance3.463883201 × 10-6
MonotonicityNot monotonic
2023-02-22T08:25:17.839027image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.214341301 2685
13.5%
1.214293344 2435
12.2%
1.214389231 2323
11.6%
1.210225975 2128
10.7%
1.214347142 1699
 
8.5%
1.214437134 1340
 
6.7%
1.210273644 883
 
4.4%
1.210269512 732
 
3.7%
1.214245359 595
 
3.0%
1.21439345 564
 
2.8%
Other values (45) 4576
22.9%
ValueCountFrequency (%)
1.210078342 1
 
< 0.1%
1.210120195 11
 
0.1%
1.210126176 5
 
< 0.1%
1.210131906 1
 
< 0.1%
1.210167913 90
0.5%
ValueCountFrequency (%)
1.214495406 90
 
0.5%
1.214485013 35
 
0.2%
1.214451663 28
 
0.1%
1.214447527 414
2.1%
1.214441271 133
 
0.7%

CoP_Air_velocity
Real number (ℝ)

Distinct19941
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.22776331
Minimum10.59847076
Maximum12.12643544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:18.211888image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.59847076
5-th percentile10.79585813
Q110.98776901
median11.14657879
Q311.40566574
95-th percentile11.87761404
Maximum12.12643544
Range1.527964676
Interquartile range (IQR)0.4178967361

Descriptive statistics

Standard deviation0.3323238881
Coefficient of variation (CV)0.02959840522
Kurtosis-0.3026084031
Mean11.22776331
Median Absolute Deviation (MAD)0.1872688056
Skewness0.7528041074
Sum224106.1556
Variance0.1104391666
MonotonicityNot monotonic
2023-02-22T08:25:18.556893image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.2674244 2
 
< 0.1%
11.27894177 2
 
< 0.1%
12.09731381 2
 
< 0.1%
12.09832326 2
 
< 0.1%
12.09929756 2
 
< 0.1%
12.10105856 2
 
< 0.1%
12.10180572 2
 
< 0.1%
12.10243866 2
 
< 0.1%
12.10293916 2
 
< 0.1%
12.1032896 2
 
< 0.1%
Other values (19931) 19940
99.9%
ValueCountFrequency (%)
10.59847076 1
< 0.1%
10.59868667 1
< 0.1%
10.59876465 1
< 0.1%
10.59940568 1
< 0.1%
10.59952706 1
< 0.1%
ValueCountFrequency (%)
12.12643544 1
< 0.1%
12.12638975 1
< 0.1%
12.1262406 1
< 0.1%
12.12608273 1
< 0.1%
12.12575421 1
< 0.1%

CoPr_Air_velocity
Real number (ℝ)

Distinct19941
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.22241158
Minimum10.59199727
Maximum12.12643544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:18.934806image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.59199727
5-th percentile10.7906197
Q110.98221322
median11.14139739
Q311.40221622
95-th percentile11.87201084
Maximum12.12643544
Range1.534438172
Interquartile range (IQR)0.4200029939

Descriptive statistics

Standard deviation0.3325580695
Coefficient of variation (CV)0.02963338737
Kurtosis-0.2912199873
Mean11.22241158
Median Absolute Deviation (MAD)0.1877427783
Skewness0.7548287415
Sum223999.3351
Variance0.1105948696
MonotonicityNot monotonic
2023-02-22T08:25:19.357083image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.2674244 2
 
< 0.1%
11.27894177 2
 
< 0.1%
12.09731381 2
 
< 0.1%
12.09832326 2
 
< 0.1%
12.09929756 2
 
< 0.1%
12.10105856 2
 
< 0.1%
12.10180572 2
 
< 0.1%
12.10243866 2
 
< 0.1%
12.10293916 2
 
< 0.1%
12.1032896 2
 
< 0.1%
Other values (19931) 19940
99.9%
ValueCountFrequency (%)
10.59199727 1
< 0.1%
10.59217108 1
< 0.1%
10.59233277 1
< 0.1%
10.5928475 1
< 0.1%
10.5931303 1
< 0.1%
ValueCountFrequency (%)
12.12643544 1
< 0.1%
12.12638975 1
< 0.1%
12.1262406 1
< 0.1%
12.12608273 1
< 0.1%
12.12575421 1
< 0.1%

Wind_Speed
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0192931266
Minimum-0.3191288352
Maximum0.503405261
Zeros0
Zeros (%)0.0%
Negative9851
Negative (%)49.4%
Memory size311.9 KiB
2023-02-22T08:25:19.806926image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.3191288352
5-th percentile-0.1896770903
Q1-0.0784715867
median0.002223412803
Q30.1015564064
95-th percentile0.2941899352
Maximum0.503405261
Range0.8225340963
Interquartile range (IQR)0.1800279931

Descriptive statistics

Standard deviation0.1440925311
Coefficient of variation (CV)7.468594078
Kurtosis0.2568519103
Mean0.0192931266
Median Absolute Deviation (MAD)0.08797662655
Skewness0.5683695547
Sum385.0908069
Variance0.02076265751
MonotonicityNot monotonic
2023-02-22T08:25:20.203456image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.208864423 1
 
< 0.1%
0.2510213288 1
 
< 0.1%
0.2453074914 1
 
< 0.1%
0.2478246156 1
 
< 0.1%
0.2497411413 1
 
< 0.1%
0.2509789095 1
 
< 0.1%
0.2517526467 1
 
< 0.1%
0.2520352848 1
 
< 0.1%
0.2518002038 1
 
< 0.1%
0.2496732356 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-0.3191288352 1
< 0.1%
-0.3190262587 1
< 0.1%
-0.3188145255 1
< 0.1%
-0.3185514469 1
< 0.1%
-0.3183085755 1
< 0.1%
ValueCountFrequency (%)
0.503405261 1
< 0.1%
0.5033609759 1
< 0.1%
0.503046961 1
< 0.1%
0.5028886482 1
< 0.1%
0.5023121658 1
< 0.1%

Wheel_Air_velocity
Real number (ℝ)

Distinct19941
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.35620485
Minimum10.62970223
Maximum12.23631983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:20.527783image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.62970223
5-th percentile10.89614433
Q111.10543554
median11.28071668
Q311.55114716
95-th percentile12.02932378
Maximum12.23631983
Range1.606617599
Interquartile range (IQR)0.4457116204

Descriptive statistics

Standard deviation0.3455554929
Coefficient of variation (CV)0.03042878298
Kurtosis-0.4138070836
Mean11.35620485
Median Absolute Deviation (MAD)0.2035556275
Skewness0.6349089517
Sum226669.8488
Variance0.1194085987
MonotonicityNot monotonic
2023-02-22T08:25:20.892206image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.2674244 2
 
< 0.1%
11.27894177 2
 
< 0.1%
12.09731381 2
 
< 0.1%
12.09832326 2
 
< 0.1%
12.09929756 2
 
< 0.1%
12.10105856 2
 
< 0.1%
12.10180572 2
 
< 0.1%
12.10243866 2
 
< 0.1%
12.10293916 2
 
< 0.1%
12.1032896 2
 
< 0.1%
Other values (19931) 19940
99.9%
ValueCountFrequency (%)
10.62970223 1
< 0.1%
10.62987507 1
< 0.1%
10.63034837 1
< 0.1%
10.63081141 1
< 0.1%
10.63186754 1
< 0.1%
ValueCountFrequency (%)
12.23631983 1
< 0.1%
12.23629869 1
< 0.1%
12.23527107 1
< 0.1%
12.23490703 1
< 0.1%
12.23352001 1
< 0.1%

Ground_Accel
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002597696143
Minimum-0.5339403185
Maximum0.4238758875
Zeros0
Zeros (%)0.0%
Negative10143
Negative (%)50.8%
Memory size311.9 KiB
2023-02-22T08:25:21.253481image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.5339403185
5-th percentile-0.2074374899
Q1-0.0891920285
median-0.002856783314
Q30.08971959867
95-th percentile0.1978419356
Maximum0.4238758875
Range0.957816206
Interquartile range (IQR)0.1789116272

Descriptive statistics

Standard deviation0.1252917959
Coefficient of variation (CV)-48.23189048
Kurtosis-0.1707319027
Mean-0.002597696143
Median Absolute Deviation (MAD)0.08939750714
Skewness-0.1037928636
Sum-51.85001501
Variance0.01569803411
MonotonicityNot monotonic
2023-02-22T08:25:21.636027image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2016532524 1
 
< 0.1%
0.2042511766 1
 
< 0.1%
0.1832747559 1
 
< 0.1%
0.1894389894 1
 
< 0.1%
0.1946236856 1
 
< 0.1%
0.198774603 1
 
< 0.1%
0.2018454196 1
 
< 0.1%
0.2037986014 1
 
< 0.1%
0.2046062854 1
 
< 0.1%
0.2027274593 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-0.5339403185 1
< 0.1%
-0.5332201526 1
< 0.1%
-0.5318446512 1
< 0.1%
-0.5297046836 1
< 0.1%
-0.5269476289 1
< 0.1%
ValueCountFrequency (%)
0.4238758875 1
< 0.1%
0.422947971 1
< 0.1%
0.4227559143 1
< 0.1%
0.4199695092 1
< 0.1%
0.4196141108 1
< 0.1%

CoM_Accel
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002563607529
Minimum-0.5339403185
Maximum2.93118733
Zeros0
Zeros (%)0.0%
Negative9957
Negative (%)49.9%
Memory size311.9 KiB
2023-02-22T08:25:22.063425image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.5339403185
5-th percentile-0.1892814089
Q1-0.08074291598
median0.0003831351266
Q30.07564880587
95-th percentile0.1735939616
Maximum2.93118733
Range3.465127648
Interquartile range (IQR)0.1563917219

Descriptive statistics

Standard deviation0.1222225421
Coefficient of variation (CV)-47.67599594
Kurtosis53.63642435
Mean-0.002563607529
Median Absolute Deviation (MAD)0.07769366524
Skewness2.631982491
Sum-51.16960627
Variance0.0149383498
MonotonicityNot monotonic
2023-02-22T08:25:22.438585image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7748324266 1
 
< 0.1%
0.2042511766 1
 
< 0.1%
0.1832747559 1
 
< 0.1%
0.1894389894 1
 
< 0.1%
0.1946236856 1
 
< 0.1%
0.198774603 1
 
< 0.1%
0.2018454196 1
 
< 0.1%
0.2037986014 1
 
< 0.1%
0.2046062854 1
 
< 0.1%
0.2027274593 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-0.5339403185 1
< 0.1%
-0.5332201526 1
< 0.1%
-0.5318446512 1
< 0.1%
-0.5297046836 1
< 0.1%
-0.5269476289 1
< 0.1%
ValueCountFrequency (%)
2.93118733 1
< 0.1%
2.572656912 1
< 0.1%
2.474315868 1
< 0.1%
2.467312055 1
< 0.1%
2.110587757 1
< 0.1%

CoMr_Accel
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002560508564
Minimum-0.5339403185
Maximum3.170594288
Zeros0
Zeros (%)0.0%
Negative9991
Negative (%)50.1%
Memory size311.9 KiB
2023-02-22T08:25:22.837051image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.5339403185
5-th percentile-0.192754892
Q1-0.08273780422
median-0.000153989995
Q30.07693091607
95-th percentile0.1773375845
Maximum3.170594288
Range3.704534607
Interquartile range (IQR)0.1596687203

Descriptive statistics

Standard deviation0.1259540548
Coefficient of variation (CV)-49.19103048
Kurtosis65.889662
Mean-0.002560508564
Median Absolute Deviation (MAD)0.07946827674
Skewness3.10088441
Sum-51.10775093
Variance0.01586442392
MonotonicityNot monotonic
2023-02-22T08:25:23.226435image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8269396243 1
 
< 0.1%
0.2042511766 1
 
< 0.1%
0.1832747559 1
 
< 0.1%
0.1894389894 1
 
< 0.1%
0.1946236856 1
 
< 0.1%
0.198774603 1
 
< 0.1%
0.2018454196 1
 
< 0.1%
0.2037986014 1
 
< 0.1%
0.2046062854 1
 
< 0.1%
0.2027274593 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-0.5339403185 1
< 0.1%
-0.5332201526 1
< 0.1%
-0.5318446512 1
< 0.1%
-0.5297046836 1
< 0.1%
-0.5269476289 1
< 0.1%
ValueCountFrequency (%)
3.170594288 1
< 0.1%
2.796328378 1
< 0.1%
2.683908756 1
< 0.1%
2.683617822 1
< 0.1%
2.298196309 1
< 0.1%

Crank_Accel
Real number (ℝ)

Distinct19932
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00260885004
Minimum-0.7643043651
Maximum0.6400120742
Zeros0
Zeros (%)0.0%
Negative9878
Negative (%)49.5%
Memory size311.9 KiB
2023-02-22T08:25:23.598781image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.7643043651
5-th percentile-0.3375760899
Q1-0.1557796078
median0.003176472399
Q30.1524148075
95-th percentile0.3193386638
Maximum0.6400120742
Range1.404316439
Interquartile range (IQR)0.3081944154

Descriptive statistics

Standard deviation0.2064475909
Coefficient of variation (CV)-79.13355987
Kurtosis-0.4608824505
Mean-0.00260885004
Median Absolute Deviation (MAD)0.1540004692
Skewness-0.1114688932
Sum-52.07264681
Variance0.04262060778
MonotonicityNot monotonic
2023-02-22T08:25:23.932628image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.110995801 2
 
< 0.1%
-0.02966286626 2
 
< 0.1%
-0.07488061251 2
 
< 0.1%
0.04004651716 2
 
< 0.1%
-0.04890758273 2
 
< 0.1%
0.136578015 2
 
< 0.1%
0.02929779592 2
 
< 0.1%
0.194122163 2
 
< 0.1%
-0.07186427675 2
 
< 0.1%
0.04906771936 2
 
< 0.1%
Other values (19922) 19940
99.9%
ValueCountFrequency (%)
-0.7643043651 1
< 0.1%
-0.7605568589 1
< 0.1%
-0.7414516827 1
< 0.1%
-0.7271758361 1
< 0.1%
-0.7091874972 1
< 0.1%
ValueCountFrequency (%)
0.6400120742 1
< 0.1%
0.6267269122 1
< 0.1%
0.6257480705 1
< 0.1%
0.6100598292 1
< 0.1%
0.6001226042 1
< 0.1%

Track_Black_Height
Real number (ℝ)

Distinct2893
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09075460556
Minimum0.04499021087
Maximum0.1338261213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:24.375220image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.04499021087
5-th percentile0.04560220261
Q10.05924163841
median0.09205545156
Q30.122305408
95-th percentile0.13335853
Maximum0.1338261213
Range0.0888359104
Interquartile range (IQR)0.06306376962

Descriptive statistics

Standard deviation0.03149177101
Coefficient of variation (CV)0.3469991502
Kurtosis-1.501511851
Mean0.09075460556
Median Absolute Deviation (MAD)0.0314151333
Skewness-0.06283408553
Sum1811.461927
Variance0.0009917316411
MonotonicityNot monotonic
2023-02-22T08:25:24.729659image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1338261213 167
 
0.8%
0.04499021087 164
 
0.8%
0.04502422211 130
 
0.7%
0.1338001786 119
 
0.6%
0.1337742318 86
 
0.4%
0.04505823199 79
 
0.4%
0.04509224049 71
 
0.4%
0.133748281 67
 
0.3%
0.04512624762 59
 
0.3%
0.1337223261 58
 
0.3%
Other values (2883) 18960
95.0%
ValueCountFrequency (%)
0.04499021087 164
0.8%
0.04502422211 130
0.7%
0.04505823199 79
0.4%
0.04509224049 71
0.4%
0.04512624762 59
 
0.3%
ValueCountFrequency (%)
0.1338261213 167
0.8%
0.1338001786 119
0.6%
0.1337742318 86
0.4%
0.133748281 67
0.3%
0.1337223261 58
 
0.3%

Track_Black_Slope
Real number (ℝ)

Distinct19184
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.198376478 × 10-6
Minimum-0.002539694508
Maximum0.0025345343
Zeros777
Zeros (%)3.9%
Negative9603
Negative (%)48.1%
Memory size311.9 KiB
2023-02-22T08:25:25.078300image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.002539694508
5-th percentile-0.002228800337
Q1-0.00151576134
median0
Q30.001509569002
95-th percentile0.002228742802
Maximum0.0025345343
Range0.005074228809
Interquartile range (IQR)0.003025330343

Descriptive statistics

Standard deviation0.001581273444
Coefficient of variation (CV)-719.2914681
Kurtosis-1.462044823
Mean-2.198376478 × 10-6
Median Absolute Deviation (MAD)0.001512799035
Skewness0.0021255434
Sum-0.0438795945
Variance2.500425706 × 10-6
MonotonicityNot monotonic
2023-02-22T08:25:25.455762image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 777
 
3.9%
-0.001160791877 1
 
< 0.1%
0.0006115737248 1
 
< 0.1%
0.000914471823 1
 
< 0.1%
0.0006098958165 1
 
< 0.1%
0.0006101444578 1
 
< 0.1%
0.0006104056159 1
 
< 0.1%
0.0009160364125 1
 
< 0.1%
0.0006109860724 1
 
< 0.1%
0.0006112765992 1
 
< 0.1%
Other values (19174) 19174
96.1%
ValueCountFrequency (%)
-0.002539694508 1
< 0.1%
-0.002532928094 1
< 0.1%
-0.002531362704 1
< 0.1%
-0.002516448902 1
< 0.1%
-0.00251432204 1
< 0.1%
ValueCountFrequency (%)
0.0025345343 1
< 0.1%
0.002528555355 1
< 0.1%
0.002528311487 1
< 0.1%
0.002522678045 1
< 0.1%
0.002520431808 1
< 0.1%

Track_Red_Height
Real number (ℝ)

Distinct2893
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3857070736
Minimum0.1912083962
Maximum0.5687610154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:25.822283image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1912083962
5-th percentile0.1938093611
Q10.2517769633
median0.3912356691
Q30.5197979842
95-th percentile0.5667737524
Maximum0.5687610154
Range0.3775526192
Interquartile range (IQR)0.2680210209

Descriptive statistics

Standard deviation0.1338400268
Coefficient of variation (CV)0.3469991502
Kurtosis-1.501511851
Mean0.3857070736
Median Absolute Deviation (MAD)0.1335143165
Skewness-0.06283408553
Sum7698.71319
Variance0.01791315277
MonotonicityNot monotonic
2023-02-22T08:25:26.162759image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5687610154 167
 
0.8%
0.1912083962 164
 
0.8%
0.191352944 130
 
0.7%
0.568650759 119
 
0.6%
0.5685404853 86
 
0.4%
0.191497486 79
 
0.4%
0.1916420221 71
 
0.4%
0.5684301942 67
 
0.3%
0.1917865524 59
 
0.3%
0.5683198858 58
 
0.3%
Other values (2883) 18960
95.0%
ValueCountFrequency (%)
0.1912083962 164
0.8%
0.191352944 130
0.7%
0.191497486 79
0.4%
0.1916420221 71
0.4%
0.1917865524 59
 
0.3%
ValueCountFrequency (%)
0.5687610154 167
0.8%
0.568650759 119
0.6%
0.5685404853 86
0.4%
0.5684301942 67
0.3%
0.5683198858 58
 
0.3%

Track_Red_Slope
Real number (ℝ)

Distinct19184
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.343100031 × 10-6
Minimum-0.01079370166
Maximum0.01077177078
Zeros777
Zeros (%)3.9%
Negative9603
Negative (%)48.1%
Memory size311.9 KiB
2023-02-22T08:25:26.502989image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.01079370166
5-th percentile-0.009472401431
Q1-0.006441985697
median0
Q30.00641566826
95-th percentile0.009472156908
Maximum0.01077177078
Range0.02156547244
Interquartile range (IQR)0.01285765396

Descriptive statistics

Standard deviation0.006720412138
Coefficient of variation (CV)-719.2914681
Kurtosis-1.462044823
Mean-9.343100031 × 10-6
Median Absolute Deviation (MAD)0.006429395899
Skewness0.0021255434
Sum-0.1864882766
Variance4.516393931 × 10-5
MonotonicityNot monotonic
2023-02-22T08:25:26.913100image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 777
 
3.9%
-0.004933365475 1
 
< 0.1%
0.00259918833 1
 
< 0.1%
0.003886505248 1
 
< 0.1%
0.00259205722 1
 
< 0.1%
0.002593113946 1
 
< 0.1%
0.002594223867 1
 
< 0.1%
0.003893154753 1
 
< 0.1%
0.002596690808 1
 
< 0.1%
0.002597925546 1
 
< 0.1%
Other values (19174) 19174
96.1%
ValueCountFrequency (%)
-0.01079370166 1
< 0.1%
-0.0107649444 1
< 0.1%
-0.01075829149 1
< 0.1%
-0.01069490784 1
< 0.1%
-0.01068586867 1
< 0.1%
ValueCountFrequency (%)
0.01077177078 1
< 0.1%
0.01074636026 1
< 0.1%
0.01074532382 1
< 0.1%
0.01072138169 1
< 0.1%
0.01071183518 1
< 0.1%

Slope
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002566538852
Minimum-0.0918223164
Maximum0.6443243703
Zeros0
Zeros (%)0.0%
Negative10676
Negative (%)53.5%
Memory size311.9 KiB
2023-02-22T08:25:27.222440image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.0918223164
5-th percentile-0.03699550853
Q1-0.01700997154
median-0.001917607822
Q30.01158749111
95-th percentile0.02975134679
Maximum0.6443243703
Range0.7361466867
Interquartile range (IQR)0.02859746265

Descriptive statistics

Standard deviation0.02292726581
Coefficient of variation (CV)-8.933145815
Kurtosis86.72248037
Mean-0.002566538852
Median Absolute Deviation (MAD)0.01423590659
Skewness3.727375754
Sum-51.22811549
Variance0.0005256595173
MonotonicityNot monotonic
2023-02-22T08:25:27.530775image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1469483996 1
 
< 0.1%
0.02930531627 1
 
< 0.1%
0.02610647121 1
 
< 0.1%
0.02711528436 1
 
< 0.1%
0.02794088957 1
 
< 0.1%
0.0285976873 1
 
< 0.1%
0.02906082608 1
 
< 0.1%
0.02933887202 1
 
< 0.1%
0.02941620658 1
 
< 0.1%
0.02901150243 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-0.0918223164 1
< 0.1%
-0.09180513422 1
< 0.1%
-0.09132690058 1
< 0.1%
-0.09129754152 1
< 0.1%
-0.0903501773 1
< 0.1%
ValueCountFrequency (%)
0.6443243703 1
< 0.1%
0.5420949458 1
< 0.1%
0.5171606461 1
< 0.1%
0.5150135695 1
< 0.1%
0.4241108078 1
< 0.1%

Rider_CdA_noslope
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1792543625
Minimum-3.268798414
Maximum0.7868662552
Zeros0
Zeros (%)0.0%
Negative1381
Negative (%)6.9%
Memory size311.9 KiB
2023-02-22T08:25:27.961111image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-3.268798414
5-th percentile-0.02175132584
Q10.09131279361
median0.1797522138
Q30.2656186992
95-th percentile0.3868974156
Maximum0.7868662552
Range4.055664669
Interquartile range (IQR)0.1743059056

Descriptive statistics

Standard deviation0.1381387369
Coefficient of variation (CV)0.7706297071
Kurtosis62.58440508
Mean0.1792543625
Median Absolute Deviation (MAD)0.0871754368
Skewness-2.972828173
Sum3577.917076
Variance0.01908231063
MonotonicityNot monotonic
2023-02-22T08:25:28.318792image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5717718541 1
 
< 0.1%
-0.04773092479 1
 
< 0.1%
-0.0244899757 1
 
< 0.1%
-0.03087313016 1
 
< 0.1%
-0.03638898958 1
 
< 0.1%
-0.04084446966 1
 
< 0.1%
-0.0442813519 1
 
< 0.1%
-0.04657195916 1
 
< 0.1%
-0.04775624122 1
 
< 0.1%
-0.04644918986 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-3.268798414 1
< 0.1%
-2.862500054 1
< 0.1%
-2.832886887 1
< 0.1%
-2.622810957 1
< 0.1%
-2.265036279 1
< 0.1%
ValueCountFrequency (%)
0.7868662552 1
< 0.1%
0.7856191755 1
< 0.1%
0.7849076477 1
< 0.1%
0.7812389194 1
< 0.1%
0.7799271346 1
< 0.1%

Rider_CdA
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1797485778
Minimum-3.388907028
Maximum0.804415759
Zeros0
Zeros (%)0.0%
Negative1482
Negative (%)7.4%
Memory size311.9 KiB
2023-02-22T08:25:28.748963image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-3.388907028
5-th percentile-0.02730612453
Q10.0890659622
median0.1799514889
Q30.2685795992
95-th percentile0.3939471553
Maximum0.804415759
Range4.193322787
Interquartile range (IQR)0.179513637

Descriptive statistics

Standard deviation0.1422258877
Coefficient of variation (CV)0.7912490292
Kurtosis63.51172401
Mean0.1797485778
Median Absolute Deviation (MAD)0.08968561853
Skewness-3.002942476
Sum3587.781613
Variance0.02022820313
MonotonicityNot monotonic
2023-02-22T08:25:29.074684image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5956114977 1
 
< 0.1%
-0.05277102666 1
 
< 0.1%
-0.02898313957 1
 
< 0.1%
-0.03553796206 1
 
< 0.1%
-0.04119451293 1
 
< 0.1%
-0.0457622132 1
 
< 0.1%
-0.04927835567 1
 
< 0.1%
-0.05161669747 1
 
< 0.1%
-0.05281459875 1
 
< 0.1%
-0.05143997843 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-3.388907028 1
< 0.1%
-2.963199694 1
< 0.1%
-2.931892872 1
< 0.1%
-2.71577473 1
< 0.1%
-2.342037084 1
< 0.1%
ValueCountFrequency (%)
0.804415759 1
< 0.1%
0.8030764615 1
< 0.1%
0.8024533429 1
< 0.1%
0.7985071153 1
< 0.1%
0.7973685998 1
< 0.1%

Fx_Lap_mean
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-13.52238472
Minimum-17.30953006
Maximum-12.29543815
Zeros0
Zeros (%)0.0%
Negative19960
Negative (%)100.0%
Memory size311.9 KiB
2023-02-22T08:25:29.342047image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-17.30953006
5-th percentile-17.30953006
Q1-13.40529938
median-12.83697918
Q3-12.77616404
95-th percentile-12.29543815
Maximum-12.29543815
Range5.014091912
Interquartile range (IQR)0.6291353392

Descriptive statistics

Standard deviation1.511885125
Coefficient of variation (CV)-0.111806102
Kurtosis1.397723447
Mean-13.52238472
Median Absolute Deviation (MAD)0.2467802953
Skewness-1.659608225
Sum-269906.799
Variance2.285796632
MonotonicityNot monotonic
2023-02-22T08:25:29.608984image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-12.29543815 2260
11.3%
-12.79602921 2260
11.3%
-12.59019889 2260
11.3%
-12.83697918 2260
11.3%
-13.40529938 2240
11.2%
-12.85774822 2220
11.1%
-12.77616404 2180
10.9%
-15.0992349 2160
10.8%
-17.30953006 2120
10.6%
ValueCountFrequency (%)
-17.30953006 2120
10.6%
-15.0992349 2160
10.8%
-13.40529938 2240
11.2%
-12.85774822 2220
11.1%
-12.83697918 2260
11.3%
ValueCountFrequency (%)
-12.29543815 2260
11.3%
-12.59019889 2260
11.3%
-12.77616404 2180
10.9%
-12.79602921 2260
11.3%
-12.83697918 2260
11.3%

Fx_HalfLap_mean
Real number (ℝ)

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-13.52238472
Minimum-17.80105248
Maximum-11.32756554
Zeros0
Zeros (%)0.0%
Negative19960
Negative (%)100.0%
Memory size311.9 KiB
2023-02-22T08:25:29.893013image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-17.80105248
5-th percentile-17.80105248
Q1-14.08017385
median-13.12730442
Q3-12.46416714
95-th percentile-11.32756554
Maximum-11.32756554
Range6.473486933
Interquartile range (IQR)1.616006706

Descriptive statistics

Standard deviation1.637668628
Coefficient of variation (CV)-0.1211079748
Kurtosis0.8179166741
Mean-13.52238472
Median Absolute Deviation (MAD)0.6631372811
Skewness-1.157838015
Sum-269906.799
Variance2.681958535
MonotonicityNot monotonic
2023-02-22T08:25:30.209159image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-11.32756554 1134
 
5.7%
-12.77939177 1134
 
5.7%
-12.70230832 1133
 
5.7%
-13.12730442 1131
 
5.7%
-12.46416714 1129
 
5.7%
-12.97236701 1127
 
5.6%
-12.39966182 1126
 
5.6%
-13.27018729 1126
 
5.6%
-13.19527602 1121
 
5.6%
-13.61569811 1119
 
5.6%
Other values (8) 8680
43.5%
ValueCountFrequency (%)
-17.80105248 1058
5.3%
-16.81985895 1062
5.3%
-15.27091953 1083
5.4%
-14.92659381 1077
5.4%
-14.08017385 1091
5.5%
ValueCountFrequency (%)
-11.32756554 1134
5.7%
-11.46975935 1089
5.5%
-12.18101904 1110
5.6%
-12.39966182 1126
5.6%
-12.46416714 1129
5.7%

Fx_Sect_mean
Real number (ℝ)

Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-13.52238472
Minimum-18.0137431
Maximum-10.48844484
Zeros0
Zeros (%)0.0%
Negative19960
Negative (%)100.0%
Memory size311.9 KiB
2023-02-22T08:25:30.557093image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-18.0137431
5-th percentile-17.7482958
Q1-14.20940026
median-13.33363093
Q3-12.46973918
95-th percentile-10.76513379
Maximum-10.48844484
Range7.525298254
Interquartile range (IQR)1.739661072

Descriptive statistics

Standard deviation1.78738918
Coefficient of variation (CV)-0.1321800272
Kurtosis0.6260017901
Mean-13.52238472
Median Absolute Deviation (MAD)0.8638917434
Skewness-0.8204990767
Sum-269906.799
Variance3.19476008
MonotonicityNot monotonic
2023-02-22T08:25:30.917898image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
-10.48844484 772
 
3.9%
-12.46973918 770
 
3.9%
-12.38695871 770
 
3.9%
-13.45126198 769
 
3.9%
-12.68383466 767
 
3.8%
-13.00178815 766
 
3.8%
-13.58450709 765
 
3.8%
-12.36467426 764
 
3.8%
-13.03566453 764
 
3.8%
-14.07433337 761
 
3.8%
Other values (26) 12292
61.6%
ValueCountFrequency (%)
-18.0137431 341
1.7%
-17.7482958 716
3.6%
-17.7396485 345
1.7%
-17.25563331 343
1.7%
-16.33086184 718
3.6%
ValueCountFrequency (%)
-10.48844484 772
3.9%
-10.76513379 736
3.7%
-10.78380278 363
1.8%
-11.80275214 748
3.7%
-11.82613566 362
1.8%

Fx_ByPos_mean
Real number (ℝ)

Distinct450
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-13.52238472
Minimum-20.81690193
Maximum-7.567598683
Zeros0
Zeros (%)0.0%
Negative19960
Negative (%)100.0%
Memory size311.9 KiB
2023-02-22T08:25:31.246262image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-20.81690193
5-th percentile-17.66933051
Q1-14.85413077
median-13.33326731
Q3-12.12134999
95-th percentile-9.734262887
Maximum-7.567598683
Range13.24930324
Interquartile range (IQR)2.732780783

Descriptive statistics

Standard deviation2.281423123
Coefficient of variation (CV)-0.1687145551
Kurtosis0.1690204814
Mean-13.52238472
Median Absolute Deviation (MAD)1.326765805
Skewness-0.2805071746
Sum-269906.799
Variance5.204891464
MonotonicityNot monotonic
2023-02-22T08:25:31.601022image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-14.94493681 47
 
0.2%
-12.36868316 47
 
0.2%
-13.60143618 46
 
0.2%
-12.32027317 46
 
0.2%
-13.3848923 46
 
0.2%
-10.04426561 46
 
0.2%
-10.67627692 46
 
0.2%
-13.19608739 46
 
0.2%
-11.38799925 46
 
0.2%
-11.28836127 46
 
0.2%
Other values (440) 19498
97.7%
ValueCountFrequency (%)
-20.81690193 42
0.2%
-20.57668155 42
0.2%
-19.69008408 43
0.2%
-19.13483456 44
0.2%
-19.0843391 43
0.2%
ValueCountFrequency (%)
-7.567598683 45
0.2%
-7.596783368 45
0.2%
-8.059418812 43
0.2%
-8.273557226 43
0.2%
-8.308028876 44
0.2%

Fy_Lap_mean
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84735.96887
Minimum84249.65041
Maximum85712.18355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:31.933997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum84249.65041
5-th percentile84249.65041
Q184354.92932
median84611.8861
Q384984.30628
95-th percentile85712.18355
Maximum85712.18355
Range1462.533138
Interquartile range (IQR)629.3769631

Descriptive statistics

Standard deviation504.2998234
Coefficient of variation (CV)0.005951425707
Kurtosis-0.7059678261
Mean84735.96887
Median Absolute Deviation (MAD)326.1736007
Skewness0.8750177634
Sum1691329939
Variance254318.3119
MonotonicityNot monotonic
2023-02-22T08:25:32.228177image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
84354.92932 2260
11.3%
84285.7125 2260
11.3%
84249.65041 2260
11.3%
84365.71682 2260
11.3%
84664.24219 2240
11.2%
84611.8861 2220
11.1%
84984.30628 2180
10.9%
85495.11657 2160
10.8%
85712.18355 2120
10.6%
ValueCountFrequency (%)
84249.65041 2260
11.3%
84285.7125 2260
11.3%
84354.92932 2260
11.3%
84365.71682 2260
11.3%
84611.8861 2220
11.1%
ValueCountFrequency (%)
85712.18355 2120
10.6%
85495.11657 2160
10.8%
84984.30628 2180
10.9%
84664.24219 2240
11.2%
84611.8861 2220
11.1%

Fy_HalfLap_mean
Real number (ℝ)

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84735.96887
Minimum84153.83152
Maximum85748.50853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:32.486766image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum84153.83152
5-th percentile84153.83152
Q184335.60973
median84541.96485
Q385064.68345
95-th percentile85748.50853
Maximum85748.50853
Range1594.677006
Interquartile range (IQR)729.0737196

Descriptive statistics

Standard deviation510.1264711
Coefficient of variation (CV)0.006020188097
Kurtosis-0.6738874579
Mean84735.96887
Median Absolute Deviation (MAD)261.7765477
Skewness0.8434106383
Sum1691329939
Variance260229.0166
MonotonicityNot monotonic
2023-02-22T08:25:32.787901image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
84259.57414 1134
 
5.7%
84153.83152 1134
 
5.7%
84450.7924 1133
 
5.7%
84235.90351 1131
 
5.7%
84335.60973 1129
 
5.7%
84280.1883 1127
 
5.6%
84346.15007 1126
 
5.6%
84450.96197 1126
 
5.6%
84655.10514 1121
 
5.6%
84673.39556 1119
 
5.6%
Other values (8) 8680
43.5%
ValueCountFrequency (%)
84153.83152 1134
5.7%
84235.90351 1131
5.7%
84259.57414 1134
5.7%
84280.1883 1127
5.6%
84335.60973 1129
5.7%
ValueCountFrequency (%)
85748.50853 1058
5.3%
85675.99538 1062
5.3%
85606.04576 1077
5.4%
85384.80193 1083
5.4%
85064.68345 1089
5.5%

Fy_Sect_mean
Real number (ℝ)

Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84735.96887
Minimum78844.85451
Maximum88922.11036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:33.146157image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum78844.85451
5-th percentile78882.19708
Q179174.78147
median86846.17362
Q387452.81333
95-th percentile88867.54423
Maximum88922.11036
Range10077.25585
Interquartile range (IQR)8278.031859

Descriptive statistics

Standard deviation3953.51155
Coefficient of variation (CV)0.0466568283
Kurtosis-1.405212252
Mean84735.96887
Median Absolute Deviation (MAD)1012.081944
Skewness-0.6894091125
Sum1691329939
Variance15630253.58
MonotonicityNot monotonic
2023-02-22T08:25:33.432757image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
86679.90323 772
 
3.9%
86871.63599 770
 
3.9%
86642.72527 770
 
3.9%
86710.98201 769
 
3.9%
86828.00435 767
 
3.8%
86848.82197 766
 
3.8%
87023.70287 765
 
3.8%
86846.17362 764
 
3.8%
87250.11008 764
 
3.8%
87309.46325 761
 
3.8%
Other values (26) 12292
61.6%
ValueCountFrequency (%)
78844.85451 356
1.8%
78851.77456 364
1.8%
78882.19708 359
1.8%
78950.98867 361
1.8%
78995.62648 349
1.7%
ValueCountFrequency (%)
88922.11036 716
3.6%
88867.54423 718
3.6%
88583.73548 733
3.7%
88284.48216 739
3.7%
87858.25557 736
3.7%

Fy_ByPos_mean
Real number (ℝ)

Distinct450
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84735.96887
Minimum77765.43538
Maximum93112.11167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:33.746907image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum77765.43538
5-th percentile78525.15346
Q179469.94635
median84930.51317
Q389485.45503
95-th percentile91690.54245
Maximum93112.11167
Range15346.67629
Interquartile range (IQR)10015.50868

Descriptive statistics

Standard deviation4869.40891
Coefficient of variation (CV)0.05746566629
Kurtosis-1.593181627
Mean84735.96887
Median Absolute Deviation (MAD)5020.648557
Skewness0.0219850261
Sum1691329939
Variance23711143.13
MonotonicityNot monotonic
2023-02-22T08:25:34.140681image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80198.88663 47
 
0.2%
86418.33224 47
 
0.2%
81327.37481 46
 
0.2%
87846.53691 46
 
0.2%
79026.64428 46
 
0.2%
78470.60033 46
 
0.2%
81466.20234 46
 
0.2%
79251.18154 46
 
0.2%
87003.11481 46
 
0.2%
82959.7087 46
 
0.2%
Other values (440) 19498
97.7%
ValueCountFrequency (%)
77765.43538 43
0.2%
77878.61285 45
0.2%
77896.64322 44
0.2%
77965.39172 44
0.2%
78055.542 46
0.2%
ValueCountFrequency (%)
93112.11167 41
0.2%
92998.43711 42
0.2%
92894.82204 43
0.2%
92562.18517 42
0.2%
92560.50521 41
0.2%

CoMr_Accel_Lap_mean
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002560508564
Minimum-0.01376949863
Maximum0.005579436754
Zeros0
Zeros (%)0.0%
Negative13360
Negative (%)66.9%
Memory size311.9 KiB
2023-02-22T08:25:34.501288image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.01376949863
5-th percentile-0.01376949863
Q1-0.006152957353
median-0.003926417694
Q30.004663451744
95-th percentile0.005579436754
Maximum0.005579436754
Range0.01934893539
Interquartile range (IQR)0.0108164091

Descriptive statistics

Standard deviation0.006105955334
Coefficient of variation (CV)-2.38466507
Kurtosis-0.8896247752
Mean-0.002560508564
Median Absolute Deviation (MAD)0.003154397616
Skewness-0.09408170569
Sum-51.10775093
Variance3.728269054 × 10-5
MonotonicityNot monotonic
2023-02-22T08:25:34.786027image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.003264546636 2260
11.3%
-0.004072247187 2260
11.3%
-0.003926417694 2260
11.3%
0.005579436754 2260
11.3%
-0.007080815311 2240
11.2%
0.004663451744 2220
11.1%
-0.01376949863 2180
10.9%
-0.006152957353 2160
10.8%
0.004978131303 2120
10.6%
ValueCountFrequency (%)
-0.01376949863 2180
10.9%
-0.007080815311 2240
11.2%
-0.006152957353 2160
10.8%
-0.004072247187 2260
11.3%
-0.003926417694 2260
11.3%
ValueCountFrequency (%)
0.005579436754 2260
11.3%
0.004978131303 2120
10.6%
0.004663451744 2220
11.1%
-0.003264546636 2260
11.3%
-0.003926417694 2260
11.3%

CoMr_Accel_HalfLap_mean
Real number (ℝ)

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002560508564
Minimum-0.02585730095
Maximum0.02795191467
Zeros0
Zeros (%)0.0%
Negative15536
Negative (%)77.8%
Memory size311.9 KiB
2023-02-22T08:25:35.107732image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.02585730095
5-th percentile-0.02585730095
Q1-0.007157380906
median-0.003908323055
Q3-0.001136126368
95-th percentile0.02795191467
Maximum0.02795191467
Range0.05380921563
Interquartile range (IQR)0.006021254538

Descriptive statistics

Standard deviation0.01158623709
Coefficient of variation (CV)-4.524974944
Kurtosis1.128149832
Mean-0.002560508564
Median Absolute Deviation (MAD)0.002772196687
Skewness0.5942740085
Sum-51.10775093
Variance0.00013424089
MonotonicityNot monotonic
2023-02-22T08:25:35.369874image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.004314079076 1134
 
5.7%
-0.003944384681 1134
 
5.7%
-0.002004526339 1133
 
5.7%
-0.01172571366 1131
 
5.7%
0.00359477724 1129
 
5.7%
0.01320377587 1127
 
5.6%
-0.003908323055 1126
 
5.6%
-0.002207557483 1126
 
5.6%
-0.01249156446 1121
 
5.6%
-0.001660395473 1119
 
5.6%
Other values (8) 8680
43.5%
ValueCountFrequency (%)
-0.02585730095 1089
5.5%
-0.01862501119 1110
5.6%
-0.01249156446 1121
5.6%
-0.01172571366 1131
5.7%
-0.007157380906 1077
5.4%
ValueCountFrequency (%)
0.02795191467 1110
5.6%
0.01320377587 1127
5.6%
0.01111550526 1058
5.3%
0.00359477724 1129
5.7%
-0.001136126368 1062
5.3%

CoMr_Accel_Sect_mean
Real number (ℝ)

Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002560508564
Minimum-0.03573245067
Maximum0.05087536449
Zeros0
Zeros (%)0.0%
Negative12184
Negative (%)61.0%
Memory size311.9 KiB
2023-02-22T08:25:35.637984image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.03573245067
5-th percentile-0.02473045295
Q1-0.01326400747
median-0.004959017754
Q30.003636021442
95-th percentile0.02827093848
Maximum0.05087536449
Range0.08660781515
Interquartile range (IQR)0.01690002892

Descriptive statistics

Standard deviation0.01705575942
Coefficient of variation (CV)-6.661082746
Kurtosis0.8235771486
Mean-0.002560508564
Median Absolute Deviation (MAD)0.008468623119
Skewness0.7672529336
Sum-51.10775093
Variance0.0002908989293
MonotonicityNot monotonic
2023-02-22T08:25:35.932105image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
-0.01383809916 772
 
3.9%
-0.03573245067 770
 
3.9%
-0.01326400747 770
 
3.9%
-0.008452987786 769
 
3.9%
0.01229076881 767
 
3.8%
-0.009688142296 766
 
3.8%
0.003068107428 765
 
3.8%
0.00573422233 764
 
3.8%
-0.02095412408 764
 
3.8%
0.009953898922 761
 
3.8%
Other values (26) 12292
61.6%
ValueCountFrequency (%)
-0.03573245067 770
3.9%
-0.02473045295 736
3.7%
-0.02373657727 349
1.7%
-0.02095412408 764
3.8%
-0.01528592849 748
3.7%
ValueCountFrequency (%)
0.05087536449 364
1.8%
0.03392162041 359
1.8%
0.02827093848 753
3.8%
0.02718392684 363
1.8%
0.0262229598 716
3.6%

CoMr_Accel_ByPos_mean
Real number (ℝ)

Distinct450
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002560508564
Minimum-0.3528133857
Maximum0.2707250725
Zeros0
Zeros (%)0.0%
Negative9983
Negative (%)50.0%
Memory size311.9 KiB
2023-02-22T08:25:36.247109image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.3528133857
5-th percentile-0.1345771514
Q1-0.05576722177
median-0.0006280318837
Q30.0528461193
95-th percentile0.1274367743
Maximum0.2707250725
Range0.6235384581
Interquartile range (IQR)0.1086133411

Descriptive statistics

Standard deviation0.08300502076
Coefficient of variation (CV)-32.41739627
Kurtosis0.527916081
Mean-0.002560508564
Median Absolute Deviation (MAD)0.05472286514
Skewness-0.1901002552
Sum-51.10775093
Variance0.006889833471
MonotonicityNot monotonic
2023-02-22T08:25:36.505555image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.020012617 47
 
0.2%
-0.07534843976 47
 
0.2%
-0.0278712154 46
 
0.2%
0.1377898637 46
 
0.2%
0.1422226025 46
 
0.2%
-0.139932885 46
 
0.2%
-0.1106974649 46
 
0.2%
0.007198611738 46
 
0.2%
0.04052146462 46
 
0.2%
0.08154039973 46
 
0.2%
Other values (440) 19498
97.7%
ValueCountFrequency (%)
-0.3528133857 46
0.2%
-0.2792579999 45
0.2%
-0.2249990057 45
0.2%
-0.2096155696 45
0.2%
-0.1862254215 43
0.2%
ValueCountFrequency (%)
0.2707250725 45
0.2%
0.2162798812 45
0.2%
0.1929777984 45
0.2%
0.1896534736 45
0.2%
0.1889492041 45
0.2%

AirDensity_Lap_mean
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.213172464
Minimum1.210802685
Maximum1.214326433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:36.814364image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1.210802685
5-th percentile1.210802685
Q11.212104139
median1.213973126
Q31.214281709
95-th percentile1.214326433
Maximum1.214326433
Range0.003523748393
Interquartile range (IQR)0.002177570036

Descriptive statistics

Standard deviation0.001359852544
Coefficient of variation (CV)0.001120906206
Kurtosis-1.099759854
Mean1.213172464
Median Absolute Deviation (MAD)0.0003533075208
Skewness-0.7627679792
Sum24214.92238
Variance1.849198941 × 10-6
MonotonicityNot monotonic
2023-02-22T08:25:37.041606image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.213973126 2260
11.3%
1.214321821 2260
11.3%
1.214281709 2260
11.3%
1.214326433 2260
11.3%
1.21323052 2240
11.2%
1.214216104 2220
11.1%
1.212104139 2180
10.9%
1.211035449 2160
10.8%
1.210802685 2120
10.6%
ValueCountFrequency (%)
1.210802685 2120
10.6%
1.211035449 2160
10.8%
1.212104139 2180
10.9%
1.21323052 2240
11.2%
1.213973126 2260
11.3%
ValueCountFrequency (%)
1.214326433 2260
11.3%
1.214321821 2260
11.3%
1.214281709 2260
11.3%
1.214216104 2220
11.1%
1.213973126 2260
11.3%

AirDensity_HalfLap_mean
Real number (ℝ)

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.213172464
Minimum1.210783856
Maximum1.214344869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:37.382145image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1.210783856
5-th percentile1.210783856
Q11.211912235
median1.214055142
Q31.214289257
95-th percentile1.214344869
Maximum1.214344869
Range0.003561013128
Interquartile range (IQR)0.002377022704

Descriptive statistics

Standard deviation0.001363030509
Coefficient of variation (CV)0.001123525756
Kurtosis-1.103802852
Mean1.213172464
Median Absolute Deviation (MAD)0.0002759937974
Skewness-0.762950405
Sum24214.92238
Variance1.85785217 × 10-6
MonotonicityNot monotonic
2023-02-22T08:25:37.650765image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.214055142 1134
 
5.7%
1.214274214 1134
 
5.7%
1.214308095 1133
 
5.7%
1.214312521 1131
 
5.7%
1.214331136 1129
 
5.7%
1.214344869 1127
 
5.6%
1.214289257 1126
 
5.6%
1.213890526 1126
 
5.6%
1.21340048 1121
 
5.6%
1.213060255 1119
 
5.6%
Other values (8) 8680
43.5%
ValueCountFrequency (%)
1.210783856 1058
5.3%
1.210821443 1062
5.3%
1.210965246 1077
5.4%
1.211105263 1083
5.4%
1.211912235 1089
5.5%
ValueCountFrequency (%)
1.214344869 1127
5.6%
1.214331136 1129
5.7%
1.214312521 1131
5.7%
1.214308095 1133
5.7%
1.214289257 1126
5.6%

AirDensity_Sect_mean
Real number (ℝ)

Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.213172464
Minimum1.210771558
Maximum1.21434952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:38.016286image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1.210771558
5-th percentile1.210816118
Q11.211849351
median1.213980911
Q31.214291408
95-th percentile1.214346099
Maximum1.21434952
Range0.003577962206
Interquartile range (IQR)0.002442056676

Descriptive statistics

Standard deviation0.001366522811
Coefficient of variation (CV)0.001126404408
Kurtosis-1.104185422
Mean1.213172464
Median Absolute Deviation (MAD)0.0003608620468
Skewness-0.7640111993
Sum24214.92238
Variance1.867384594 × 10-6
MonotonicityNot monotonic
2023-02-22T08:25:38.373562image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1.214079181 772
 
3.9%
1.214288779 770
 
3.9%
1.214266077 770
 
3.9%
1.214311748 769
 
3.9%
1.214346099 767
 
3.8%
1.214337557 766
 
3.8%
1.213878463 765
 
3.8%
1.214291408 764
 
3.8%
1.213540122 764
 
3.8%
1.212977154 761
 
3.8%
Other values (26) 12292
61.6%
ValueCountFrequency (%)
1.210771558 716
3.6%
1.210816118 341
1.7%
1.210816335 718
3.6%
1.210825599 345
1.7%
1.210877193 343
1.7%
ValueCountFrequency (%)
1.21434952 364
1.8%
1.214346099 767
3.8%
1.214341773 359
1.8%
1.214337557 766
3.8%
1.214316842 363
1.8%

AirDensity_ByPos_mean
Real number (ℝ)

Distinct368
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.213172464
Minimum1.210613647
Maximum1.214390057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:38.746789image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1.210613647
5-th percentile1.210768294
Q11.211927864
median1.213999758
Q31.214293344
95-th percentile1.214347142
Maximum1.214390057
Range0.003776410267
Interquartile range (IQR)0.002365480624

Descriptive statistics

Standard deviation0.001380304916
Coefficient of variation (CV)0.001137764792
Kurtosis-1.102001957
Mean1.213172464
Median Absolute Deviation (MAD)0.0003471529658
Skewness-0.7633651056
Sum24214.92238
Variance1.905241661 × 10-6
MonotonicityNot monotonic
2023-02-22T08:25:39.106335image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.214341301 715
 
3.6%
1.214293344 496
 
2.5%
1.214347142 405
 
2.0%
1.214018789 270
 
1.4%
1.214292882 180
 
0.9%
1.214341532 180
 
0.9%
1.214246589 176
 
0.9%
1.214151878 176
 
0.9%
1.214389231 138
 
0.7%
1.214293118 138
 
0.7%
Other values (358) 17086
85.6%
ValueCountFrequency (%)
1.210613647 43
0.2%
1.210657483 41
0.2%
1.210661813 43
0.2%
1.2106708 42
0.2%
1.210671047 42
0.2%
ValueCountFrequency (%)
1.214390057 46
 
0.2%
1.214389231 138
0.7%
1.214374353 46
 
0.2%
1.214374111 46
 
0.2%
1.214372489 45
 
0.2%

CoPr_Air_Spd_Lap_mean
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.22241158
Minimum10.94731903
Maximum11.80596622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:39.464005image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.94731903
5-th percentile10.94731903
Q110.99228264
median11.15510529
Q311.34256033
95-th percentile11.80596622
Maximum11.80596622
Range0.8586471911
Interquartile range (IQR)0.3502776928

Descriptive statistics

Standard deviation0.2912462781
Coefficient of variation (CV)0.02595220075
Kurtosis-0.550344704
Mean11.22241158
Median Absolute Deviation (MAD)0.173673603
Skewness0.9483580008
Sum223999.3351
Variance0.08482439451
MonotonicityNot monotonic
2023-02-22T08:25:39.715927image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
11.00892776 2260
11.3%
10.98143169 2260
11.3%
10.94731903 2260
11.3%
10.99228264 2260
11.3%
11.17357544 2240
11.2%
11.15510529 2220
11.1%
11.34256033 2180
10.9%
11.65233812 2160
10.8%
11.80596622 2120
10.6%
ValueCountFrequency (%)
10.94731903 2260
11.3%
10.98143169 2260
11.3%
10.99228264 2260
11.3%
11.00892776 2260
11.3%
11.15510529 2220
11.1%
ValueCountFrequency (%)
11.80596622 2120
10.6%
11.65233812 2160
10.8%
11.34256033 2180
10.9%
11.17357544 2240
11.2%
11.15510529 2220
11.1%

CoPr_Air_Spd_HalfLap_mean
Real number (ℝ)

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.22241158
Minimum10.93132022
Maximum11.81588432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:40.007326image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.93132022
5-th percentile10.93132022
Q110.97117056
median11.1494898
Q311.35836145
95-th percentile11.81588432
Maximum11.81588432
Range0.8845641007
Interquartile range (IQR)0.3871908876

Descriptive statistics

Standard deviation0.2919432467
Coefficient of variation (CV)0.02601430581
Kurtosis-0.5503053639
Mean11.22241158
Median Absolute Deviation (MAD)0.178319236
Skewness0.9361147166
Sum223999.3351
Variance0.08523085928
MonotonicityNot monotonic
2023-02-22T08:25:40.276362image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10.97035127 1134
 
5.7%
10.93132022 1134
 
5.7%
10.96118194 1133
 
5.7%
10.97117056 1131
 
5.7%
10.99171099 1129
 
5.7%
11.02354891 1127
 
5.6%
10.96343151 1126
 
5.6%
11.04777834 1126
 
5.6%
11.16915659 1121
 
5.6%
11.17800218 1119
 
5.6%
Other values (8) 8680
43.5%
ValueCountFrequency (%)
10.93132022 1134
5.7%
10.96118194 1133
5.7%
10.96343151 1126
5.6%
10.97035127 1134
5.7%
10.97117056 1131
5.7%
ValueCountFrequency (%)
11.81588432 1058
5.3%
11.79608548 1062
5.3%
11.67211398 1077
5.4%
11.63267182 1083
5.4%
11.35836145 1091
5.5%

CoPr_Air_Spd_Sect_mean
Real number (ℝ)

Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.22241158
Minimum10.87169258
Maximum11.93100373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:40.517488image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.87169258
5-th percentile10.88252723
Q111.01158125
median11.1512269
Q311.34520272
95-th percentile11.81212728
Maximum11.93100373
Range1.059311147
Interquartile range (IQR)0.3336214651

Descriptive statistics

Standard deviation0.3089317872
Coefficient of variation (CV)0.02752811061
Kurtosis-0.4278633897
Mean11.22241158
Median Absolute Deviation (MAD)0.1842617289
Skewness0.9047106429
Sum223999.3351
Variance0.09543884912
MonotonicityNot monotonic
2023-02-22T08:25:40.849606image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
10.88252723 772
 
3.9%
10.92323618 770
 
3.9%
10.87169258 770
 
3.9%
10.8892535 769
 
3.9%
11.01158125 767
 
3.8%
11.01308559 766
 
3.8%
11.07467462 765
 
3.8%
10.96696517 764
 
3.8%
11.10867202 764
 
3.8%
11.20639605 761
 
3.8%
Other values (26) 12292
61.6%
ValueCountFrequency (%)
10.87169258 770
3.9%
10.88252723 772
3.9%
10.8892535 769
3.9%
10.91713794 363
1.8%
10.92323618 770
3.9%
ValueCountFrequency (%)
11.93100373 345
1.7%
11.91127874 343
1.7%
11.81212728 716
3.6%
11.79709306 341
1.7%
11.74395576 718
3.6%

CoPr_Air_Spd_ByPos_mean
Real number (ℝ)

Distinct450
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.22241158
Minimum10.62672153
Maximum12.1059969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:41.190471image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.62672153
5-th percentile10.78443651
Q110.98972823
median11.14047823
Q311.40523782
95-th percentile11.86403046
Maximum12.1059969
Range1.479275368
Interquartile range (IQR)0.4155095854

Descriptive statistics

Standard deviation0.3290067603
Coefficient of variation (CV)0.02931693942
Kurtosis-0.2781915421
Mean11.22241158
Median Absolute Deviation (MAD)0.1808614185
Skewness0.7827495861
Sum223999.3351
Variance0.1082454483
MonotonicityNot monotonic
2023-02-22T08:25:41.518182image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.7887773 47
 
0.2%
10.67487081 47
 
0.2%
11.17741503 46
 
0.2%
10.81439392 46
 
0.2%
11.18958482 46
 
0.2%
10.96772654 46
 
0.2%
11.12244498 46
 
0.2%
11.03489676 46
 
0.2%
10.81832207 46
 
0.2%
10.99903514 46
 
0.2%
Other values (440) 19498
97.7%
ValueCountFrequency (%)
10.62672153 46
0.2%
10.67487081 47
0.2%
10.72259848 45
0.2%
10.73106394 46
0.2%
10.74159308 45
0.2%
ValueCountFrequency (%)
12.1059969 43
0.2%
12.09204521 43
0.2%
12.0541588 43
0.2%
12.0316912 43
0.2%
12.0220402 42
0.2%

Rider_CdA_byLap
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.179313452
Minimum0.164973807
Maximum0.2000779108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:41.878678image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.164973807
5-th percentile0.164973807
Q10.1708812623
median0.1788663282
Q30.1849179105
95-th percentile0.2000779108
Maximum0.2000779108
Range0.03510410381
Interquartile range (IQR)0.01403664823

Descriptive statistics

Standard deviation0.01030449792
Coefficient of variation (CV)0.05746639647
Kurtosis-0.5086221623
Mean0.179313452
Median Absolute Deviation (MAD)0.007985065882
Skewness0.5187594803
Sum3579.096502
Variance0.0001061826775
MonotonicityNot monotonic
2023-02-22T08:25:42.096479image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1708812623 2260
11.3%
0.1794523802 2260
11.3%
0.1775787765 2260
11.3%
0.1685611004 2260
11.3%
0.1849179105 2240
11.2%
0.164973807 2220
11.1%
0.1788663282 2180
10.9%
0.1900530604 2160
10.8%
0.2000779108 2120
10.6%
ValueCountFrequency (%)
0.164973807 2220
11.1%
0.1685611004 2260
11.3%
0.1708812623 2260
11.3%
0.1775787765 2260
11.3%
0.1788663282 2180
10.9%
ValueCountFrequency (%)
0.2000779108 2120
10.6%
0.1900530604 2160
10.8%
0.1849179105 2240
11.2%
0.1794523802 2260
11.3%
0.1788663282 2180
10.9%

Rider_CdA_byHalfLap
Real number (ℝ)

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1793191236
Minimum0.147725286
Maximum0.2008179343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:42.390799image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.147725286
5-th percentile0.147725286
Q10.1744294538
median0.181518355
Q30.1883783446
95-th percentile0.2008179343
Maximum0.2008179343
Range0.05309264822
Interquartile range (IQR)0.01394889084

Descriptive statistics

Standard deviation0.01358419145
Coefficient of variation (CV)0.07575428197
Kurtosis-0.1826666963
Mean0.1793191236
Median Absolute Deviation (MAD)0.006859989666
Skewness-0.5516324088
Sum3579.209708
Variance0.0001845302575
MonotonicityNot monotonic
2023-02-22T08:25:42.689000image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1600312148 1134
 
5.7%
0.1807235022 1134
 
5.7%
0.1764487569 1133
 
5.7%
0.1931414155 1131
 
5.7%
0.1657797693 1129
 
5.7%
0.1607360562 1127
 
5.6%
0.1744294538 1126
 
5.6%
0.1816504517 1126
 
5.6%
0.1883145005 1121
 
5.6%
0.181518355 1119
 
5.6%
Other values (8) 8680
43.5%
ValueCountFrequency (%)
0.147725286 1110
5.6%
0.1600312148 1134
5.7%
0.1607360562 1127
5.6%
0.1657797693 1129
5.7%
0.1744294538 1126
5.6%
ValueCountFrequency (%)
0.2008179343 1062
5.3%
0.1993320175 1058
5.3%
0.1931414155 1131
5.7%
0.1917312989 1083
5.4%
0.1883783446 1077
5.4%

CdA_Lap_mean
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.178820491
Minimum0.1685848624
Maximum0.2083273585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:42.992311image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1685848624
5-th percentile0.1685848624
Q10.1726788288
median0.1751668142
Q30.1819723214
95-th percentile0.2083273585
Maximum0.2083273585
Range0.03974249611
Interquartile range (IQR)0.0092934926

Descriptive statistics

Standard deviation0.01116391945
Coefficient of variation (CV)0.06243087348
Kurtosis2.337382112
Mean0.178820491
Median Absolute Deviation (MAD)0.005875663717
Skewness1.786484006
Sum3569.257
Variance0.0001246330975
MonotonicityNot monotonic
2023-02-22T08:25:43.950742image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1692911504 2260
11.3%
0.1749858407 2260
11.3%
0.1772115044 2260
11.3%
0.1751668142 2260
11.3%
0.1819723214 2240
11.2%
0.1726788288 2220
11.1%
0.1685848624 2180
10.9%
0.1827231481 2160
10.8%
0.2083273585 2120
10.6%
ValueCountFrequency (%)
0.1685848624 2180
10.9%
0.1692911504 2260
11.3%
0.1726788288 2220
11.1%
0.1749858407 2260
11.3%
0.1751668142 2260
11.3%
ValueCountFrequency (%)
0.2083273585 2120
10.6%
0.1827231481 2160
10.8%
0.1819723214 2240
11.2%
0.1772115044 2260
11.3%
0.1751668142 2260
11.3%

CdA_HalfLap_mean
Real number (ℝ)

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.178820491
Minimum0.1479375574
Maximum0.2137996219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:44.266150image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1479375574
5-th percentile0.1479375574
Q10.1731945181
median0.1774876543
Q30.1846657382
95-th percentile0.2137996219
Maximum0.2137996219
Range0.06586206454
Interquartile range (IQR)0.01147122004

Descriptive statistics

Standard deviation0.01486759479
Coefficient of variation (CV)0.08314256775
Kurtosis0.7326023898
Mean0.178820491
Median Absolute Deviation (MAD)0.004557390724
Skewness0.0416465425
Sum3569.257
Variance0.0002210453747
MonotonicityNot monotonic
2023-02-22T08:25:44.565313image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1515934744 1134
 
5.7%
0.1774876543 1134
 
5.7%
0.1731756399 1133
 
5.7%
0.1731945181 1131
 
5.7%
0.1767803366 1129
 
5.7%
0.1771685892 1127
 
5.6%
0.1769333925 1126
 
5.6%
0.1871145648 1126
 
5.6%
0.1812381802 1121
 
5.6%
0.1827077748 1119
 
5.6%
Other values (8) 8680
43.5%
ValueCountFrequency (%)
0.1479375574 1089
5.5%
0.1515934744 1134
5.7%
0.1633126126 1110
5.6%
0.1731756399 1133
5.7%
0.1731945181 1131
5.7%
ValueCountFrequency (%)
0.2137996219 1058
5.3%
0.2028757062 1062
5.3%
0.1891943171 1091
5.5%
0.1871145648 1126
5.6%
0.1846657382 1077
5.4%

CdA_Sect_mean
Real number (ℝ)

Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.178820491
Minimum0.1387404891
Maximum0.2258035191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:44.899482image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1387404891
5-th percentile0.1421943005
Q10.1710350649
median0.1783753501
Q30.1883983287
95-th percentile0.207603352
Maximum0.2258035191
Range0.08706302993
Interquartile range (IQR)0.01736326376

Descriptive statistics

Standard deviation0.01747294757
Coefficient of variation (CV)0.09771222231
Kurtosis0.4547523049
Mean0.178820491
Median Absolute Deviation (MAD)0.009686143378
Skewness-0.1343964688
Sum3569.257
Variance0.0003053038968
MonotonicityNot monotonic
2023-02-22T08:25:45.225549image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.1421943005 772
 
3.9%
0.1659103896 770
 
3.9%
0.1710350649 770
 
3.9%
0.1686892068 769
 
3.9%
0.1729595828 767
 
3.8%
0.1805744125 766
 
3.8%
0.1818614379 765
 
3.8%
0.1833102094 764
 
3.8%
0.1731387435 764
 
3.8%
0.1843521682 761
 
3.8%
Other values (26) 12292
61.6%
ValueCountFrequency (%)
0.1387404891 736
3.7%
0.1421943005 772
3.9%
0.1570508021 748
3.7%
0.1619033149 362
1.8%
0.1659103896 770
3.9%
ValueCountFrequency (%)
0.2258035191 341
1.7%
0.207603352 716
3.6%
0.2055014493 345
1.7%
0.2048481375 349
1.7%
0.2021072423 718
3.6%

CdA_ByPos_mean
Real number (ℝ)

Distinct446
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.178820491
Minimum0.1053023256
Maximum0.2453333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:45.608518image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1053023256
5-th percentile0.1364186047
Q10.1648222222
median0.1786363636
Q30.195
95-th percentile0.2187380952
Maximum0.2453333333
Range0.1400310078
Interquartile range (IQR)0.03017777778

Descriptive statistics

Standard deviation0.02381287975
Coefficient of variation (CV)0.1331663928
Kurtosis0.5354551184
Mean0.178820491
Median Absolute Deviation (MAD)0.01463636364
Skewness-0.1822500396
Sum3569.257
Variance0.000567053242
MonotonicityNot monotonic
2023-02-22T08:25:45.990075image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1749111111 90
 
0.5%
0.1828 90
 
0.5%
0.1720454545 88
 
0.4%
0.2059767442 86
 
0.4%
0.179212766 47
 
0.2%
0.1677446809 47
 
0.2%
0.1596086957 46
 
0.2%
0.1626956522 46
 
0.2%
0.159673913 46
 
0.2%
0.172826087 46
 
0.2%
Other values (436) 19328
96.8%
ValueCountFrequency (%)
0.1053023256 43
0.2%
0.105627907 43
0.2%
0.1118604651 43
0.2%
0.1123953488 43
0.2%
0.1136136364 44
0.2%
ValueCountFrequency (%)
0.2453333333 45
0.2%
0.2434651163 43
0.2%
0.2419333333 45
0.2%
0.2393809524 42
0.2%
0.2380434783 46
0.2%

myCdA_Lap_mean
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1792543625
Minimum0.1645666916
Maximum0.2000011736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:46.271187image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1645666916
5-th percentile0.1645666916
Q10.1709505784
median0.178364254
Q30.1847618276
95-th percentile0.2000011736
Maximum0.2000011736
Range0.03543448195
Interquartile range (IQR)0.01381124919

Descriptive statistics

Standard deviation0.01019072651
Coefficient of variation (CV)0.05685064713
Kurtosis-0.4208577587
Mean0.1792543625
Median Absolute Deviation (MAD)0.007413675569
Skewness0.5576665011
Sum3577.917076
Variance0.0001038509068
MonotonicityNot monotonic
2023-02-22T08:25:46.523403image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1709505784 2260
11.3%
0.1788886276 2260
11.3%
0.1773953487 2260
11.3%
0.1698826377 2260
11.3%
0.1847618276 2240
11.2%
0.1645666916 2220
11.1%
0.178364254 2180
10.9%
0.1899958844 2160
10.8%
0.2000011736 2120
10.6%
ValueCountFrequency (%)
0.1645666916 2220
11.1%
0.1698826377 2260
11.3%
0.1709505784 2260
11.3%
0.1773953487 2260
11.3%
0.178364254 2180
10.9%
ValueCountFrequency (%)
0.2000011736 2120
10.6%
0.1899958844 2160
10.8%
0.1847618276 2240
11.2%
0.1788886276 2260
11.3%
0.178364254 2180
10.9%

myCdA_HalfLap_mean
Real number (ℝ)

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1792543625
Minimum0.1472354802
Maximum0.2022189523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:46.814934image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1472354802
5-th percentile0.1472354802
Q10.1740267456
median0.1807401873
Q30.1893273423
95-th percentile0.2022189523
Maximum0.2022189523
Range0.05498347216
Interquartile range (IQR)0.0153005967

Descriptive statistics

Standard deviation0.01375826597
Coefficient of variation (CV)0.07675275389
Kurtosis-0.1693703109
Mean0.1792543625
Median Absolute Deviation (MAD)0.006713441748
Skewness-0.5597294581
Sum3577.917076
Variance0.0001892898825
MonotonicityNot monotonic
2023-02-22T08:25:47.050121image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1609224536 1134
 
5.7%
0.1807401873 1134
 
5.7%
0.1803643515 1133
 
5.7%
0.1925251221 1131
 
5.7%
0.1652279763 1129
 
5.7%
0.1593451208 1127
 
5.6%
0.1740267456 1126
 
5.6%
0.181049951 1126
 
5.6%
0.1893273423 1121
 
5.6%
0.1801881529 1119
 
5.6%
Other values (8) 8680
43.5%
ValueCountFrequency (%)
0.1472354802 1110
5.6%
0.1593451208 1127
5.6%
0.1609224536 1134
5.7%
0.1652279763 1129
5.7%
0.1740267456 1126
5.6%
ValueCountFrequency (%)
0.2022189523 1062
5.3%
0.1977750101 1058
5.3%
0.1927424877 1083
5.4%
0.1925251221 1131
5.7%
0.1893273423 1121
5.6%

myCdA_Sect_mean
Real number (ℝ)

Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1792543625
Minimum0.1183287749
Maximum0.2255064017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:47.397900image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1183287749
5-th percentile0.1435931332
Q10.1641802499
median0.1799004007
Q30.1895969492
95-th percentile0.2165733347
Maximum0.2255064017
Range0.1071776268
Interquartile range (IQR)0.02541669933

Descriptive statistics

Standard deviation0.02077978188
Coefficient of variation (CV)0.1159234374
Kurtosis0.858576568
Mean0.1792543625
Median Absolute Deviation (MAD)0.01180423286
Skewness-0.5814145048
Sum3577.917076
Variance0.0004317993349
MonotonicityNot monotonic
2023-02-22T08:25:47.754889image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.1636311091 772
 
3.9%
0.2165733347 770
 
3.9%
0.1874939441 770
 
3.9%
0.1964889399 769
 
3.9%
0.15604774 767
 
3.8%
0.1868492594 766
 
3.8%
0.1790800511 765
 
3.8%
0.1627660967 764
 
3.8%
0.1991139722 764
 
3.8%
0.1733994214 761
 
3.8%
Other values (26) 12292
61.6%
ValueCountFrequency (%)
0.1183287749 363
1.8%
0.123592028 364
1.8%
0.1435931332 753
3.8%
0.146231696 359
1.8%
0.15604774 767
3.8%
ValueCountFrequency (%)
0.2255064017 341
1.7%
0.2165733347 770
3.9%
0.2075105621 345
1.7%
0.2017630022 718
3.6%
0.2013928091 349
1.7%

myCdA_ByPos_mean
Real number (ℝ)

Distinct450
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1792543625
Minimum-0.1073175979
Maximum0.58357987
Zeros0
Zeros (%)0.0%
Negative446
Negative (%)2.2%
Memory size311.9 KiB
2023-02-22T08:25:48.241869image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.1073175979
5-th percentile0.03226895203
Q10.1196448695
median0.1772478109
Q30.2368992141
95-th percentile0.3192346071
Maximum0.58357987
Range0.6908974679
Interquartile range (IQR)0.1172543446

Descriptive statistics

Standard deviation0.09054802276
Coefficient of variation (CV)0.505137066
Kurtosis0.9416942739
Mean0.1792543625
Median Absolute Deviation (MAD)0.05824720091
Skewness0.2399368705
Sum3577.917076
Variance0.008198944426
MonotonicityNot monotonic
2023-02-22T08:25:48.648449image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1887139364 47
 
0.2%
0.2730340678 47
 
0.2%
0.2095051374 46
 
0.2%
0.003094534987 46
 
0.2%
0.02742837515 46
 
0.2%
0.2883287048 46
 
0.2%
0.2627468715 46
 
0.2%
0.1639286075 46
 
0.2%
0.1071037528 46
 
0.2%
0.06106576085 46
 
0.2%
Other values (440) 19498
97.7%
ValueCountFrequency (%)
-0.1073175979 45
0.2%
-0.05418963395 45
0.2%
-0.04789105603 45
0.2%
-0.03308900466 45
0.2%
-0.01898810589 45
0.2%
ValueCountFrequency (%)
0.58357987 46
0.2%
0.5194283109 45
0.2%
0.4429302829 45
0.2%
0.4019587536 43
0.2%
0.401338302 44
0.2%

calc_rider_CdAm²
Real number (ℝ)

Distinct19162
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.178626268
Minimum0.09924464549
Maximum0.2526171362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:49.098333image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.09924464549
5-th percentile0.1358825882
Q10.1653936345
median0.1787395417
Q30.193694008
95-th percentile0.2166543338
Maximum0.2526171362
Range0.1533724908
Interquartile range (IQR)0.02830037349

Descriptive statistics

Standard deviation0.02371308959
Coefficient of variation (CV)0.1327525333
Kurtosis0.6194078031
Mean0.178626268
Median Absolute Deviation (MAD)0.01424031025
Skewness-0.1299336376
Sum3565.380309
Variance0.000562310618
MonotonicityNot monotonic
2023-02-22T08:25:49.467151image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.153564888 4
 
< 0.1%
0.1699069519 4
 
< 0.1%
0.1729568565 4
 
< 0.1%
0.1670283506 4
 
< 0.1%
0.2153257683 4
 
< 0.1%
0.1695125384 3
 
< 0.1%
0.1773853078 3
 
< 0.1%
0.2120635282 3
 
< 0.1%
0.1142851502 3
 
< 0.1%
0.1753127937 3
 
< 0.1%
Other values (19152) 19925
99.8%
ValueCountFrequency (%)
0.09924464549 1
< 0.1%
0.0992956186 1
< 0.1%
0.09951225431 1
< 0.1%
0.09961420053 1
< 0.1%
0.09999649886 1
< 0.1%
ValueCountFrequency (%)
0.2526171362 1
< 0.1%
0.252205569 1
< 0.1%
0.25163789 1
< 0.1%
0.2513885824 1
< 0.1%
0.2510018527 1
< 0.1%

calc_rider_CdA
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1786164187
Minimum0.100689123
Maximum0.2504081588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:49.887830image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.100689123
5-th percentile0.1360880181
Q10.165458084
median0.1787391592
Q30.1939542479
95-th percentile0.2171185441
Maximum0.2504081588
Range0.1497190358
Interquartile range (IQR)0.02849616383

Descriptive statistics

Standard deviation0.02365483346
Coefficient of variation (CV)0.1324337014
Kurtosis0.6261495852
Mean0.1786164187
Median Absolute Deviation (MAD)0.01417452776
Skewness-0.1329160429
Sum3565.183717
Variance0.000559551146
MonotonicityNot monotonic
2023-02-22T08:25:50.304794image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2112098391 1
 
< 0.1%
0.1630529239 1
 
< 0.1%
0.1627701415 1
 
< 0.1%
0.1630710665 1
 
< 0.1%
0.1632722869 1
 
< 0.1%
0.1633262963 1
 
< 0.1%
0.1633022729 1
 
< 0.1%
0.1632365684 1
 
< 0.1%
0.1631044122 1
 
< 0.1%
0.1628948262 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
0.100689123 1
< 0.1%
0.1007362884 1
< 0.1%
0.1009051202 1
< 0.1%
0.1010534416 1
< 0.1%
0.1014426565 1
< 0.1%
ValueCountFrequency (%)
0.2504081588 1
< 0.1%
0.2504030251 1
< 0.1%
0.2503505108 1
< 0.1%
0.2502948956 1
< 0.1%
0.2502680508 1
< 0.1%

calc_rider_CdA_corr
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1784134379
Minimum0.1004409937
Maximum0.2500517713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:50.705048image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1004409937
5-th percentile0.1359198464
Q10.1651862426
median0.178526018
Q30.1937453127
95-th percentile0.2169750843
Maximum0.2500517713
Range0.1496107776
Interquartile range (IQR)0.02855907007

Descriptive statistics

Standard deviation0.02366380258
Coefficient of variation (CV)0.1326346426
Kurtosis0.618249106
Mean0.1784134379
Median Absolute Deviation (MAD)0.01421146863
Skewness-0.1303262165
Sum3561.132221
Variance0.0005599755525
MonotonicityNot monotonic
2023-02-22T08:25:51.129506image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2105115585 1
 
< 0.1%
0.1627597279 1
 
< 0.1%
0.1624774541 1
 
< 0.1%
0.1627778379 1
 
< 0.1%
0.1629786965 1
 
< 0.1%
0.1630326088 1
 
< 0.1%
0.1630086286 1
 
< 0.1%
0.1629430422 1
 
< 0.1%
0.1628111237 1
 
< 0.1%
0.1626019145 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
0.1004409937 1
< 0.1%
0.1007405415 1
< 0.1%
0.1007572172 1
< 0.1%
0.100956649 1
< 0.1%
0.1011452912 1
< 0.1%
ValueCountFrequency (%)
0.2500517713 1
< 0.1%
0.2500466449 1
< 0.1%
0.2499942053 1
< 0.1%
0.2499386693 1
< 0.1%
0.2499118627 1
< 0.1%

calc_Rider_Weight
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.26284612
Minimum79.30183708
Maximum92.07884403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:51.464978image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum79.30183708
5-th percentile79.30605463
Q179.30748976
median84.34076208
Q388.48189693
95-th percentile90.40750863
Maximum92.07884403
Range12.77700695
Interquartile range (IQR)9.17440717

Descriptive statistics

Standard deviation4.28517388
Coefficient of variation (CV)0.05085484384
Kurtosis-1.617349654
Mean84.26284612
Median Absolute Deviation (MAD)4.600697982
Skewness0.0554665118
Sum1681886.408
Variance18.36271519
MonotonicityNot monotonic
2023-02-22T08:25:51.872342image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.30738489 1
 
< 0.1%
79.30619189 1
 
< 0.1%
79.30622273 1
 
< 0.1%
79.30621861 1
 
< 0.1%
79.30621436 1
 
< 0.1%
79.30621 1
 
< 0.1%
79.30620555 1
 
< 0.1%
79.30620103 1
 
< 0.1%
79.30619646 1
 
< 0.1%
79.30618732 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
79.30183708 1
< 0.1%
79.30326593 1
< 0.1%
79.30326593 1
< 0.1%
79.30339275 1
< 0.1%
79.303522 1
< 0.1%
ValueCountFrequency (%)
92.07884403 1
< 0.1%
92.07883086 1
< 0.1%
92.07031859 1
< 0.1%
92.07027957 1
< 0.1%
92.06177557 1
< 0.1%

calc_RiderBike_Weight
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.05751941
Minimum90.40209423
Maximum104.9675599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:52.248456image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum90.40209423
5-th percentile90.40690213
Q190.40853813
median96.14634163
Q3100.8671309
95-th percentile103.0622797
Maximum104.9675599
Range14.56546568
Interquartile range (IQR)10.45859279

Descriptive statistics

Standard deviation4.884990149
Coefficient of variation (CV)0.05085484384
Kurtosis-1.617349654
Mean96.05751941
Median Absolute Deviation (MAD)5.244679667
Skewness0.0554665118
Sum1917308.087
Variance23.86312875
MonotonicityNot monotonic
2023-02-22T08:25:52.645607image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.40841858 1
 
< 0.1%
90.40705859 1
 
< 0.1%
90.40709375 1
 
< 0.1%
90.40708906 1
 
< 0.1%
90.40708422 1
 
< 0.1%
90.40707924 1
 
< 0.1%
90.40707417 1
 
< 0.1%
90.40706901 1
 
< 0.1%
90.40706381 1
 
< 0.1%
90.40705339 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
90.40209423 1
< 0.1%
90.40372308 1
< 0.1%
90.40372308 1
< 0.1%
90.40386765 1
< 0.1%
90.40401499 1
< 0.1%
ValueCountFrequency (%)
104.9675599 1
< 0.1%
104.9675449 1
< 0.1%
104.9578411 1
< 0.1%
104.9577966 1
< 0.1%
104.9481023 1
< 0.1%

RR_power_meas
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.7258448
Minimum24.17506511
Maximum31.03040558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:53.077916image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum24.17506511
5-th percentile24.40939193
Q125.01168981
median26.6364745
Q328.01725421
95-th percentile29.93614391
Maximum31.03040558
Range6.855340471
Interquartile range (IQR)3.005564408

Descriptive statistics

Standard deviation1.731730245
Coefficient of variation (CV)0.06479609002
Kurtosis-0.938957258
Mean26.7258448
Median Absolute Deviation (MAD)1.493717188
Skewness0.3001509684
Sum533447.8622
Variance2.998889643
MonotonicityNot monotonic
2023-02-22T08:25:53.424878image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.66268725 1
 
< 0.1%
24.55639158 1
 
< 0.1%
24.5869239 1
 
< 0.1%
24.58285825 1
 
< 0.1%
24.57865586 1
 
< 0.1%
24.57433845 1
 
< 0.1%
24.56992896 1
 
< 0.1%
24.56545136 1
 
< 0.1%
24.56093042 1
 
< 0.1%
24.55186061 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
24.17506511 1
< 0.1%
24.17515713 1
< 0.1%
24.17517887 1
< 0.1%
24.17545527 1
< 0.1%
24.17549576 1
< 0.1%
ValueCountFrequency (%)
31.03040558 1
< 0.1%
31.03021944 1
< 0.1%
31.02742966 1
< 0.1%
31.02687759 1
< 0.1%
31.02415751 1
< 0.1%

Total_Weight_inclBike
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.59686741
Minimum87.57336934
Maximum106.725798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:53.854655image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum87.57336934
5-th percentile89.37383045
Q190.64656977
median96.75662089
Q3102.0668976
95-th percentile104.5513793
Maximum106.725798
Range19.15242865
Interquartile range (IQR)11.42032784

Descriptive statistics

Standard deviation5.582207846
Coefficient of variation (CV)0.0577887047
Kurtosis-1.576980526
Mean96.59686741
Median Absolute Deviation (MAD)5.7034981
Skewness0.01729459141
Sum1928073.474
Variance31.16104443
MonotonicityNot monotonic
2023-02-22T08:25:54.294554image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.01142367 1
 
< 0.1%
89.14361193 1
 
< 0.1%
89.3343817 1
 
< 0.1%
89.30768575 1
 
< 0.1%
89.28307871 1
 
< 0.1%
89.25845295 1
 
< 0.1%
89.23249902 1
 
< 0.1%
89.2038281 1
 
< 0.1%
89.17370906 1
 
< 0.1%
89.11199632 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
87.57336934 1
< 0.1%
87.58106055 1
< 0.1%
87.58495792 1
< 0.1%
87.60870335 1
< 0.1%
87.6115491 1
< 0.1%
ValueCountFrequency (%)
106.725798 1
< 0.1%
106.7238688 1
< 0.1%
106.7161283 1
< 0.1%
106.7121703 1
< 0.1%
106.6943495 1
< 0.1%

RR_power_sens
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.87773669
Minimum23.63863907
Maximum31.55017417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:54.691407image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum23.63863907
5-th percentile24.24436509
Q125.05830982
median26.80796546
Q328.33791957
95-th percentile30.35644874
Maximum31.55017417
Range7.911535103
Interquartile range (IQR)3.279609748

Descriptive statistics

Standard deviation1.91794331
Coefficient of variation (CV)0.07135806607
Kurtosis-1.000043483
Mean26.87773669
Median Absolute Deviation (MAD)1.62664107
Skewness0.2474305522
Sum536479.6243
Variance3.678506542
MonotonicityNot monotonic
2023-02-22T08:25:55.057856image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.83385196 1
 
< 0.1%
24.21321383 1
 
< 0.1%
24.29519138 1
 
< 0.1%
24.28391625 1
 
< 0.1%
24.27307643 1
 
< 0.1%
24.2621203 1
 
< 0.1%
24.2507147 1
 
< 0.1%
24.23850617 1
 
< 0.1%
24.22586435 1
 
< 0.1%
24.20016172 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
23.63863907 1
< 0.1%
23.64044041 1
< 0.1%
23.64232891 1
< 0.1%
23.64800846 1
< 0.1%
23.65042411 1
< 0.1%
ValueCountFrequency (%)
31.55017417 1
< 0.1%
31.54941913 1
< 0.1%
31.54721103 1
< 0.1%
31.54549305 1
< 0.1%
31.54037312 1
< 0.1%

Accel_power_meas
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.800472096
Minimum-532.5215387
Maximum464.2108887
Zeros0
Zeros (%)0.0%
Negative10143
Negative (%)50.8%
Memory size311.9 KiB
2023-02-22T08:25:55.476774image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-532.5215387
5-th percentile-223.2753608
Q1-95.67443654
median-3.124026755
Q396.61057454
95-th percentile209.0516304
Maximum464.2108887
Range996.7324275
Interquartile range (IQR)192.2850111

Descriptive statistics

Standard deviation134.6789862
Coefficient of variation (CV)-48.09152943
Kurtosis-0.1981189592
Mean-2.800472096
Median Absolute Deviation (MAD)96.36233058
Skewness-0.09518754997
Sum-55897.42304
Variance18138.42933
MonotonicityNot monotonic
2023-02-22T08:25:55.866318image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210.8983802 1
 
< 0.1%
204.456238 1
 
< 0.1%
183.6886209 1
 
< 0.1%
189.8348478 1
 
< 0.1%
194.9965791 1
 
< 0.1%
199.1200905 1
 
< 0.1%
202.15968 1
 
< 0.1%
204.0785215 1
 
< 0.1%
204.8495301 1
 
< 0.1%
202.8936837 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-532.5215387 1
< 0.1%
-532.0605877 1
< 0.1%
-530.1751338 1
< 0.1%
-528.8073543 1
< 0.1%
-525.041204 1
< 0.1%
ValueCountFrequency (%)
464.2108887 1
< 0.1%
464.1640275 1
< 0.1%
462.4063872 1
< 0.1%
462.3226992 1
< 0.1%
458.7617206 1
< 0.1%

Accel_power_sens
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.766903749
Minimum-523.7262141
Maximum470.1232959
Zeros0
Zeros (%)0.0%
Negative10143
Negative (%)50.8%
Memory size311.9 KiB
2023-02-22T08:25:56.284180image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-523.7262141
5-th percentile-224.3685975
Q1-96.03863953
median-3.154443923
Q397.28340395
95-th percentile210.369543
Maximum470.1232959
Range993.84951
Interquartile range (IQR)193.3220435

Descriptive statistics

Standard deviation135.4022787
Coefficient of variation (CV)-48.93638917
Kurtosis-0.2026910254
Mean-2.766903749
Median Absolute Deviation (MAD)96.9745178
Skewness-0.09165152183
Sum-55227.39884
Variance18333.77707
MonotonicityNot monotonic
2023-02-22T08:25:56.703467image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212.305028 1
 
< 0.1%
201.5989439 1
 
< 0.1%
181.5090906 1
 
< 0.1%
187.5263446 1
 
< 0.1%
192.5722422 1
 
< 0.1%
196.5902601 1
 
< 0.1%
199.533207 1
 
< 0.1%
201.3624106 1
 
< 0.1%
202.0549239 1
 
< 0.1%
199.9872855 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-523.7262141 1
< 0.1%
-523.3987551 1
< 0.1%
-521.297678 1
< 0.1%
-520.3281559 1
< 0.1%
-516.138329 1
< 0.1%
ValueCountFrequency (%)
470.1232959 1
< 0.1%
470.0416968 1
< 0.1%
468.3282883 1
< 0.1%
468.1408644 1
< 0.1%
464.605424 1
< 0.1%

KE1
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6049.039947
Minimum5374.155922
Maximum7266.591624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:57.088533image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum5374.155922
5-th percentile5473.438211
Q15695.964475
median6033.775387
Q36276.988949
95-th percentile6923.159688
Maximum7266.591624
Range1892.435702
Interquartile range (IQR)581.0244739

Descriptive statistics

Standard deviation422.5136833
Coefficient of variation (CV)0.06984805638
Kurtosis-0.1781776724
Mean6049.039947
Median Absolute Deviation (MAD)300.6797596
Skewness0.5921927673
Sum120738837.3
Variance178517.8125
MonotonicityNot monotonic
2023-02-22T08:25:57.463861image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6053.241523 1
 
< 0.1%
5542.674478 1
 
< 0.1%
5556.463914 1
 
< 0.1%
5554.62674 1
 
< 0.1%
5552.728094 1
 
< 0.1%
5550.777823 1
 
< 0.1%
5548.78631 1
 
< 0.1%
5546.764397 1
 
< 0.1%
5544.723293 1
 
< 0.1%
5540.629596 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
5374.155922 1
< 0.1%
5374.202445 1
< 0.1%
5374.202908 1
< 0.1%
5374.341288 1
< 0.1%
5374.343546 1
< 0.1%
ValueCountFrequency (%)
7266.591624 1
< 0.1%
7266.501459 1
< 0.1%
7266.099168 1
< 0.1%
7265.831751 1
< 0.1%
7265.462802 1
< 0.1%

KE2
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6083.098525
Minimum5283.616503
Maximum7388.309212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:25:57.920870image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum5283.616503
5-th percentile5440.107655
Q15691.77688
median6065.270165
Q36343.035875
95-th percentile7019.555932
Maximum7388.309212
Range2104.692709
Interquartile range (IQR)651.2589949

Descriptive statistics

Standard deviation458.2692315
Coefficient of variation (CV)0.0753348363
Kurtosis-0.2478885399
Mean6083.098525
Median Absolute Deviation (MAD)324.9101793
Skewness0.529584031
Sum121418646.6
Variance210010.6886
MonotonicityNot monotonic
2023-02-22T08:25:58.302842image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6093.615367 1
 
< 0.1%
5465.21511 1
 
< 0.1%
5490.53451 1
 
< 0.1%
5487.079216 1
 
< 0.1%
5483.692608 1
 
< 0.1%
5480.254923 1
 
< 0.1%
5476.696084 1
 
< 0.1%
5472.941698 1
 
< 0.1%
5469.080854 1
 
< 0.1%
5461.261547 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
5283.616503 1
< 0.1%
5284.082076 1
< 0.1%
5284.55805 1
< 0.1%
5285.931248 1
< 0.1%
5286.84735 1
< 0.1%
ValueCountFrequency (%)
7388.309212 1
< 0.1%
7388.085045 1
< 0.1%
7387.823172 1
< 0.1%
7387.280411 1
< 0.1%
7386.353927 1
< 0.1%

AccelKE_power_meas
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.711597555
Minimum-5366.582218
Maximum835.1260474
Zeros0
Zeros (%)0.0%
Negative9882
Negative (%)49.5%
Memory size311.9 KiB
2023-02-22T08:25:58.705639image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-5366.582218
5-th percentile-471.3102837
Q1-163.8920771
median2.874958327
Q3157.9793472
95-th percentile467.1577472
Maximum835.1260474
Range6201.708266
Interquartile range (IQR)321.8714243

Descriptive statistics

Standard deviation282.4355676
Coefficient of variation (CV)-104.1583649
Kurtosis16.71247197
Mean-2.711597555
Median Absolute Deviation (MAD)161.0441092
Skewness-1.182252799
Sum-54123.48719
Variance79769.84984
MonotonicityNot monotonic
2023-02-22T08:25:59.088557image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-990.4578351 1
 
< 0.1%
204.4881452 1
 
< 0.1%
183.7174316 1
 
< 0.1%
189.8646023 1
 
< 0.1%
195.0271213 1
 
< 0.1%
199.1512563 1
 
< 0.1%
202.1912986 1
 
< 0.1%
204.1104169 1
 
< 0.1%
204.8815223 1
 
< 0.1%
202.9253239 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-5366.582218 1
< 0.1%
-4442.983973 1
< 0.1%
-4117.284463 1
< 0.1%
-3931.250218 1
< 0.1%
-3726.678472 1
< 0.1%
ValueCountFrequency (%)
835.1260474 1
< 0.1%
831.4892386 1
< 0.1%
824.4911766 1
< 0.1%
821.5162921 1
< 0.1%
821.4631243 1
< 0.1%

AccelKE_power_sens
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.832364268
Minimum-1330.875384
Maximum2891.212895
Zeros0
Zeros (%)0.0%
Negative9901
Negative (%)49.6%
Memory size311.9 KiB
2023-02-22T08:25:59.521110image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1330.875384
5-th percentile-565.2968867
Q1-248.9666209
median3.233298424
Q3242.9241357
95-th percentile547.7512302
Maximum2891.212895
Range4222.088279
Interquartile range (IQR)491.8907566

Descriptive statistics

Standard deviation344.9695556
Coefficient of variation (CV)-121.7956177
Kurtosis0.5062677301
Mean-2.832364268
Median Absolute Deviation (MAD)245.8180056
Skewness0.0415305927
Sum-56533.99078
Variance119003.9943
MonotonicityNot monotonic
2023-02-22T08:25:59.909739image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
752.6659282 1
 
< 0.1%
395.356344 1
 
< 0.1%
345.5294551 1
 
< 0.1%
338.6607856 1
 
< 0.1%
343.7684847 1
 
< 0.1%
355.8839665 1
 
< 0.1%
375.4385623 1
 
< 0.1%
386.0843739 1
 
< 0.1%
386.5743979 1
 
< 0.1%
413.6053297 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-1330.875384 1
< 0.1%
-1329.896491 1
< 0.1%
-1314.831574 1
< 0.1%
-1313.170723 1
< 0.1%
-1278.936538 1
< 0.1%
ValueCountFrequency (%)
2891.212895 1
< 0.1%
2772.409354 1
< 0.1%
2630.987108 1
< 0.1%
2418.109362 1
< 0.1%
2164.842518 1
< 0.1%

DTL_power
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.66060924
Minimum7.427782627
Maximum14.84442265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:26:00.298325image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum7.427782627
5-th percentile8.601246001
Q19.786308039
median10.71194225
Q311.42421265
95-th percentile13.1265375
Maximum14.84442265
Range7.416640023
Interquartile range (IQR)1.637904613

Descriptive statistics

Standard deviation1.293562325
Coefficient of variation (CV)0.1213403751
Kurtosis0.2125588191
Mean10.66060924
Median Absolute Deviation (MAD)0.7902945437
Skewness0.1802520282
Sum212785.7605
Variance1.673303487
MonotonicityNot monotonic
2023-02-22T08:26:00.687818image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.51549649 1
 
< 0.1%
10.06766908 1
 
< 0.1%
10.06007549 1
 
< 0.1%
10.06368869 1
 
< 0.1%
10.06629515 1
 
< 0.1%
10.06790019 1
 
< 0.1%
10.06867775 1
 
< 0.1%
10.06875743 1
 
< 0.1%
10.06834001 1
 
< 0.1%
10.06695174 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
7.427782627 1
< 0.1%
7.427785973 1
< 0.1%
7.429541868 1
< 0.1%
7.429703627 1
< 0.1%
7.432875432 1
< 0.1%
ValueCountFrequency (%)
14.84442265 1
< 0.1%
14.844196 1
< 0.1%
14.84169865 1
< 0.1%
14.84143764 1
< 0.1%
14.83664679 1
< 0.1%

FullAir_power
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean859.6355026
Minimum737.9541734
Maximum1045.001147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:26:01.126588image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum737.9541734
5-th percentile773.9645642
Q1810.0451014
median841.0611185
Q3893.9665292
95-th percentile996.4779609
Maximum1045.001147
Range307.0469737
Interquartile range (IQR)83.92142773

Descriptive statistics

Standard deviation69.23041593
Coefficient of variation (CV)0.08053461697
Kurtosis-0.3414387707
Mean859.6355026
Median Absolute Deviation (MAD)35.13969135
Skewness0.8361338788
Sum17158324.63
Variance4792.85049
MonotonicityNot monotonic
2023-02-22T08:26:01.425112image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
975.2092528 1
 
< 0.1%
862.1874712 1
 
< 0.1%
864.486866 1
 
< 0.1%
864.4483625 1
 
< 0.1%
864.3040094 1
 
< 0.1%
864.0441965 1
 
< 0.1%
863.7041214 1
 
< 0.1%
863.2822151 1
 
< 0.1%
862.7770777 1
 
< 0.1%
861.512311 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
737.9541734 1
< 0.1%
737.962975 1
< 0.1%
738.0206863 1
< 0.1%
738.0399202 1
< 0.1%
738.1349499 1
< 0.1%
ValueCountFrequency (%)
1045.001147 1
< 0.1%
1045.000322 1
< 0.1%
1044.955099 1
< 0.1%
1041.363314 1
< 0.1%
1041.267521 1
< 0.1%

Residual_power_meas
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.8403746
Minimum-617.7814656
Maximum5618.108782
Zeros0
Zeros (%)0.0%
Negative3629
Negative (%)18.2%
Memory size311.9 KiB
2023-02-22T08:26:01.813433image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-617.7814656
5-th percentile-241.0702933
Q169.7258252
median230.7634003
Q3394.4685381
95-th percentile693.8519286
Maximum5618.108782
Range6235.890248
Interquartile range (IQR)324.7427129

Descriptive statistics

Standard deviation283.6351925
Coefficient of variation (CV)1.223407239
Kurtosis16.65240071
Mean231.8403746
Median Absolute Deviation (MAD)162.4513184
Skewness1.172256934
Sum4627533.876
Variance80448.92245
MonotonicityNot monotonic
2023-02-22T08:26:02.130852image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1313.167064 1
 
< 0.1%
12.57952114 1
 
< 0.1%
33.13745637 1
 
< 0.1%
27.08106787 1
 
< 0.1%
21.98530644 1
 
< 0.1%
17.90400985 1
 
< 0.1%
14.88703847 1
 
< 0.1%
12.97431016 1
 
< 0.1%
12.19770754 1
 
< 0.1%
14.12965735 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-617.7814656 1
< 0.1%
-616.679763 1
< 0.1%
-613.8732947 1
< 0.1%
-609.4317435 1
< 0.1%
-603.4256268 1
< 0.1%
ValueCountFrequency (%)
5618.108782 1
< 0.1%
4676.777145 1
< 0.1%
4375.33389 1
< 0.1%
4171.58709 1
< 0.1%
3960.296669 1
< 0.1%

Residual_power_sens
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.8092494
Minimum-2640.135332
Maximum1594.331183
Zeros0
Zeros (%)0.0%
Negative5306
Negative (%)26.6%
Memory size311.9 KiB
2023-02-22T08:26:02.437078image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-2640.135332
5-th percentile-315.2641785
Q1-15.76740009
median220.8372616
Q3476.667633
95-th percentile802.0285602
Maximum1594.331183
Range4234.466515
Interquartile range (IQR)492.4350331

Descriptive statistics

Standard deviation346.6061862
Coefficient of variation (CV)1.495221554
Kurtosis0.482946932
Mean231.8092494
Median Absolute Deviation (MAD)245.7186377
Skewness-0.007429837158
Sum4626912.618
Variance120135.8483
MonotonicityNot monotonic
2023-02-22T08:26:02.794221image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-430.1278643 1
 
< 0.1%
-177.9454999 1
 
< 0.1%
-128.3828347 1
 
< 0.1%
-121.4161734 1
 
< 0.1%
-126.4504776 1
 
< 0.1%
-138.5164822 1
 
< 0.1%
-158.0410109 1
 
< 0.1%
-168.6727017 1
 
< 0.1%
-169.160102 1
 
< 0.1%
-196.1986495 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-2640.135332 1
< 0.1%
-2539.033123 1
< 0.1%
-2391.037805 1
< 0.1%
-2184.858172 1
< 0.1%
-1960.408847 1
< 0.1%
ValueCountFrequency (%)
1594.331183 1
< 0.1%
1593.423149 1
< 0.1%
1578.438325 1
< 0.1%
1576.560243 1
< 0.1%
1542.259877 1
< 0.1%

calc_CdA_meas
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2710684274
Minimum-0.7683174565
Maximum5.979571961
Zeros0
Zeros (%)0.0%
Negative3629
Negative (%)18.2%
Memory size311.9 KiB
2023-02-22T08:26:03.128346image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.7683174565
5-th percentile-0.2758053657
Q10.08202711033
median0.2668245275
Q30.4639207663
95-th percentile0.8097481273
Maximum5.979571961
Range6.747889417
Interquartile range (IQR)0.381893656

Descriptive statistics

Standard deviation0.3306936894
Coefficient of variation (CV)1.219963876
Kurtosis17.25766232
Mean0.2710684274
Median Absolute Deviation (MAD)0.1909798468
Skewness1.213660099
Sum5410.52581
Variance0.1093583162
MonotonicityNot monotonic
2023-02-22T08:26:03.514943image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34654902 1
 
< 0.1%
0.01459023886 1
 
< 0.1%
0.03833193732 1
 
< 0.1%
0.03132757148 1
 
< 0.1%
0.02543700619 1
 
< 0.1%
0.02072117367 1
 
< 0.1%
0.0172362712 1
 
< 0.1%
0.01502904836 1
 
< 0.1%
0.01413772788 1
 
< 0.1%
0.01640099297 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-0.7683174565 1
< 0.1%
-0.7669533599 1
< 0.1%
-0.7633521638 1
< 0.1%
-0.7576063124 1
< 0.1%
-0.7498106659 1
< 0.1%
ValueCountFrequency (%)
5.979571961 1
< 0.1%
5.707674867 1
< 0.1%
5.615973524 1
< 0.1%
5.269512704 1
< 0.1%
4.699269899 1
< 0.1%

calc_CdA_sens
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.271161833
Minimum-3.098709879
Maximum2.070189901
Zeros0
Zeros (%)0.0%
Negative5306
Negative (%)26.6%
Memory size311.9 KiB
2023-02-22T08:26:03.902818image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-3.098709879
5-th percentile-0.3666080712
Q1-0.01865748026
median0.2580699945
Q30.5627431903
95-th percentile0.9203955277
Maximum2.070189901
Range5.16889978
Interquartile range (IQR)0.5814006706

Descriptive statistics

Standard deviation0.403894957
Coefficient of variation (CV)1.489497812
Kurtosis0.5918313706
Mean0.271161833
Median Absolute Deviation (MAD)0.2901093635
Skewness-0.01770848793
Sum5412.390187
Variance0.1631311363
MonotonicityNot monotonic
2023-02-22T08:26:04.309894image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4410621239 1
 
< 0.1%
-0.2063884084 1
 
< 0.1%
-0.1485075595 1
 
< 0.1%
-0.140455091 1
 
< 0.1%
-0.1463032407 1
 
< 0.1%
-0.1603118021 1
 
< 0.1%
-0.1829804988 1
 
< 0.1%
-0.1953853545 1
 
< 0.1%
-0.1960646688 1
 
< 0.1%
-0.2277374879 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
-3.098709879 1
< 0.1%
-3.020338259 1
< 0.1%
-2.809998848 1
< 0.1%
-2.592542706 1
< 0.1%
-2.375898473 1
< 0.1%
ValueCountFrequency (%)
2.070189901 1
< 0.1%
2.064092958 1
< 0.1%
2.051677383 1
< 0.1%
2.039542232 1
< 0.1%
2.01117134 1
< 0.1%

calc_VECdA
Real number (ℝ)

Distinct19960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.262283079
Minimum0.1794338273
Maximum0.3612737202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size311.9 KiB
2023-02-22T08:26:04.722043image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1794338273
5-th percentile0.2090334859
Q10.2397509727
median0.2611969025
Q30.2853498803
95-th percentile0.3166121079
Maximum0.3612737202
Range0.1818398929
Interquartile range (IQR)0.04559890764

Descriptive statistics

Standard deviation0.03274537784
Coefficient of variation (CV)0.1248474662
Kurtosis-0.2059147122
Mean0.262283079
Median Absolute Deviation (MAD)0.02274377072
Skewness0.08037486498
Sum5235.170257
Variance0.00107225977
MonotonicityNot monotonic
2023-02-22T08:26:05.180429image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3307591405 1
 
< 0.1%
0.252113315 1
 
< 0.1%
0.2511444011 1
 
< 0.1%
0.2512679206 1
 
< 0.1%
0.2513938613 1
 
< 0.1%
0.2515257726 1
 
< 0.1%
0.2516586253 1
 
< 0.1%
0.2517968741 1
 
< 0.1%
0.2519461807 1
 
< 0.1%
0.2523048461 1
 
< 0.1%
Other values (19950) 19950
99.9%
ValueCountFrequency (%)
0.1794338273 1
< 0.1%
0.1794677893 1
< 0.1%
0.1798982766 1
< 0.1%
0.1800333309 1
< 0.1%
0.1801402529 1
< 0.1%
ValueCountFrequency (%)
0.3612737202 1
< 0.1%
0.3612272679 1
< 0.1%
0.361177635 1
< 0.1%
0.3610474152 1
< 0.1%
0.3609334358 1
< 0.1%